{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import libpysal as lps\n",
    "import esda\n",
    "import seaborn as sns\n",
    "from matplotlib import colors\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from statsmodels.tsa.stattools import grangercausalitytests\n",
    "import geopandas as gpd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "start_time = time.time()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 15]\n",
    "plt.rcParams['figure.dpi'] = 100 # 200 e.g. is really fine, but slower"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset loaded with shape: (367, 8)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>2002-04-01</td>\n",
       "      <td>Kalikot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>the family of a lawmaker from Kalikot were abd...</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>2002-07-01</td>\n",
       "      <td>Solukhumbu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nele area of Solukhumbu district</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>2002-08-01</td>\n",
       "      <td>bordering Rolpa and Pyuthan districts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>travelling in a bus near Jaluki bordering Rolp...</td>\n",
       "      <td>1</td>\n",
       "      <td>The kidnappers were not identified but they ar...</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>2002-09-19</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chandeswori school in Ramechhap district</td>\n",
       "      <td>1</td>\n",
       "      <td>\"about 100\"</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2002-10-12</td>\n",
       "      <td>Surkhet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>their homes in Surkhet district</td>\n",
       "      <td>1</td>\n",
       "      <td>maybe took place over 2 days, and may be an ag...</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CASEQUANTITY    CASEDATE                           DISTRICTNAME VDCMCP  \\\n",
       "0             6  2002-04-01                                Kalikot    NaN   \n",
       "1            11  2002-07-01                            Solukhumbu     NaN   \n",
       "2             8  2002-08-01  bordering Rolpa and Pyuthan districts    NaN   \n",
       "3           100  2002-09-19                              Ramechhap    NaN   \n",
       "4             5  2002-10-12                                Surkhet    NaN   \n",
       "\n",
       "                                            Location  Batch  \\\n",
       "0                                                NaN      1   \n",
       "1                   Nele area of Solukhumbu district      1   \n",
       "2  travelling in a bus near Jaluki bordering Rolp...      1   \n",
       "3           Chandeswori school in Ramechhap district      1   \n",
       "4                    their homes in Surkhet district      1   \n",
       "\n",
       "                                        Observations Coder   \n",
       "0  the family of a lawmaker from Kalikot were abd...     KE  \n",
       "1                                                NaN     KE  \n",
       "2  The kidnappers were not identified but they ar...     KE  \n",
       "3                                        \"about 100\"     KE  \n",
       "4  maybe took place over 2 days, and may be an ag...     KE  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media = pd.read_csv('Nepal/media_coding.csv')\n",
    "print(f'Dataset loaded with shape: {media.shape}')\n",
    "media.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>15000</td>\n",
       "      <td>2004-04-06</td>\n",
       "      <td>Kanchanpur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tribhuvan Basti, Kalipa and Parasa villages in...</td>\n",
       "      <td>1</td>\n",
       "      <td>estimates as high as 2000</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    CASEQUANTITY    CASEDATE DISTRICTNAME VDCMCP  \\\n",
       "59         15000  2004-04-06   Kanchanpur    NaN   \n",
       "\n",
       "                                             Location  Batch  \\\n",
       "59  Tribhuvan Basti, Kalipa and Parasa villages in...      1   \n",
       "\n",
       "                 Observations Coder   \n",
       "59  estimates as high as 2000     KE  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media[media.CASEQUANTITY==max(media.CASEQUANTITY)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r9/147lb9956w3cl4tl0kktrl3r0000gn/T/ipykernel_79700/2489550068.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  media.CASEQUANTITY[media.index==59]=1500\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>1500</td>\n",
       "      <td>2004-04-06</td>\n",
       "      <td>Kanchanpur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tribhuvan Basti, Kalipa and Parasa villages in...</td>\n",
       "      <td>1</td>\n",
       "      <td>estimates as high as 2000</td>\n",
       "      <td>KE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    CASEQUANTITY    CASEDATE DISTRICTNAME VDCMCP  \\\n",
       "59          1500  2004-04-06   Kanchanpur    NaN   \n",
       "\n",
       "                                             Location  Batch  \\\n",
       "59  Tribhuvan Basti, Kalipa and Parasa villages in...      1   \n",
       "\n",
       "                 Observations Coder   \n",
       "59  estimates as high as 2000     KE  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media.CASEQUANTITY[media.index==59]=1500\n",
    "media.head(60).tail(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset loaded with shape: (513, 15)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>2002-01-04</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kailali</td>\n",
       "      <td>Paddon</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>2002-01-23</td>\n",
       "      <td>Unidentified (Student)</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Salyan</td>\n",
       "      <td>Shyunrat</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>2002-06-15</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Depalgaun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>2002-07-12</td>\n",
       "      <td>Unidentifed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Narakot</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>2002-07-16</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Kanaka Sundari</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CASEQUANTITY    CASEDATE             VICTIMSNAME   AGE GENDER DISTRICTNAME  \\\n",
       "0            10  2002-01-04                 Student   NaN    NaN      Kailali   \n",
       "1            12  2002-01-23  Unidentified (Student)  25.0   Male       Salyan   \n",
       "2            35  2002-06-15            Unidentified   NaN    NaN        Jumla   \n",
       "3            20  2002-07-12             Unidentifed   NaN    NaN        Jumla   \n",
       "4            22  2002-07-16            Unidentified   NaN    NaN        Jumla   \n",
       "\n",
       "           VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION DESIGNATION  \\\n",
       "0          Paddon     9.0           0           Unavailable         NaN   \n",
       "1        Shyunrat     4.0           0               Student     Student   \n",
       "2       Depalgaun     NaN           0               Student     Student   \n",
       "3         Narakot     5.0           0               Student     Student   \n",
       "4  Kanaka Sundari     NaN           0               Student     Student   \n",
       "\n",
       "   KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "0  By Non-State         Maoists               Abduction   \n",
       "1  By Non-State         Maoists               Abduction   \n",
       "2  By Non-State         Maoists               Abduction   \n",
       "3  By Non-State         Maoists               Abduction   \n",
       "4  By Non-State         Maoists               Abduction   \n",
       "\n",
       "  VICTIMSTATUSSUBDESCRIPTION  \n",
       "0                  Abduction  \n",
       "1                  Abduction  \n",
       "2                  Abduction  \n",
       "3                  Abduction  \n",
       "4                  Abduction  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo = pd.read_csv('Nepal/ngo_coding.csv')\n",
    "print(f'Dataset loaded with shape: {ngo.shape}')\n",
    "ngo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(513,)\n",
      "144.16569200779728\n",
      "30.0\n"
     ]
    }
   ],
   "source": [
    "print(ngo.CASEQUANTITY.shape)\n",
    "print(ngo.CASEQUANTITY.mean())\n",
    "print(ngo.CASEQUANTITY.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(367,)\n",
      "56899\n",
      "155.03814713896458\n",
      "40.0\n"
     ]
    }
   ],
   "source": [
    "print(media.CASEQUANTITY.shape)\n",
    "print(media.CASEQUANTITY.sum())\n",
    "print(media.CASEQUANTITY.mean())\n",
    "print(media.CASEQUANTITY.median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2007-03-01'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo.CASEDATE.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r9/147lb9956w3cl4tl0kktrl3r0000gn/T/ipykernel_79700/497097800.py:4: FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.\n",
      "  ngo['week']=pd.to_datetime(ngo.CASEDATE).dt.week\n",
      "/var/folders/r9/147lb9956w3cl4tl0kktrl3r0000gn/T/ipykernel_79700/497097800.py:9: FutureWarning: Series.dt.weekofyear and Series.dt.week have been deprecated.  Please use Series.dt.isocalendar().week instead.\n",
      "  media['week']=pd.to_datetime(media.CASEDATE).dt.week\n"
     ]
    }
   ],
   "source": [
    "# Extract week numbers, month numbers and years from data\n",
    "ngo['year']=pd.to_datetime(ngo.CASEDATE).dt.year\n",
    "ngo['month']=pd.to_datetime(ngo.CASEDATE).dt.month\n",
    "ngo['week']=pd.to_datetime(ngo.CASEDATE).dt.week\n",
    "ngo = ngo[ngo.year<2007]\n",
    "\n",
    "media['year']=pd.to_datetime(media.CASEDATE).dt.year\n",
    "media['month']=pd.to_datetime(media.CASEDATE).dt.month\n",
    "media['week']=pd.to_datetime(media.CASEDATE).dt.week\n",
    "\n",
    "# Create a unique week ID for each calendar week from 2002-01-01 to 2007-12-31 \n",
    "ngo['weekid']=((ngo.year-2002))*53+ngo.week\n",
    "media['weekid']=((media.year-2002)*53)+media.week\n",
    "\n",
    "ngo['monthid']=((ngo.year-2002))*12+ngo.month\n",
    "media['monthid']=((media.year-2002)*12)+media.month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>week</th>\n",
       "      <th>year</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>2002</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24</td>\n",
       "      <td>2002</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28</td>\n",
       "      <td>2002</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>29</td>\n",
       "      <td>2002</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>46</td>\n",
       "      <td>2006</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>46</td>\n",
       "      <td>2006</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>46</td>\n",
       "      <td>2006</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>46</td>\n",
       "      <td>2006</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>51</td>\n",
       "      <td>2006</td>\n",
       "      <td>263</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>512 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     week  year  weekid  monthid\n",
       "0       1  2002       1        1\n",
       "1       4  2002       4        1\n",
       "2      24  2002      24        6\n",
       "3      28  2002      28        7\n",
       "4      29  2002      29        7\n",
       "..    ...   ...     ...      ...\n",
       "507    46  2006     258       59\n",
       "508    46  2006     258       59\n",
       "509    46  2006     258       59\n",
       "510    46  2006     258       59\n",
       "511    51  2006     263       60\n",
       "\n",
       "[512 rows x 4 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo[['week','year','weekid','monthid']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Media Data Span: 2002 / 14   TO   2006 / 262\n",
      "NGO Data Span: 2002 / 1   TO   2006 / 263\n"
     ]
    }
   ],
   "source": [
    "print(\"Media Data Span:\",media.year.min(),'/',media.weekid.min(),'  TO  ',media.year.max(),'/',media.weekid.max())\n",
    "print(\"NGO Data Span:\",ngo.year.min(),'/',ngo.weekid.min(),'  TO  ',ngo.year.max(),'/',ngo.weekid.max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure 1 is generated manually (it's a conceptual schematic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>2002-04-01</td>\n",
       "      <td>Kalikot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>the family of a lawmaker from Kalikot were abd...</td>\n",
       "      <td>KE</td>\n",
       "      <td>2002</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11</td>\n",
       "      <td>2002-07-01</td>\n",
       "      <td>Solukhumbu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Nele area of Solukhumbu district</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>27</td>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>2002-08-01</td>\n",
       "      <td>bordering Rolpa and Pyuthan districts</td>\n",
       "      <td>NaN</td>\n",
       "      <td>travelling in a bus near Jaluki bordering Rolp...</td>\n",
       "      <td>1</td>\n",
       "      <td>The kidnappers were not identified but they ar...</td>\n",
       "      <td>KE</td>\n",
       "      <td>2002</td>\n",
       "      <td>8</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100</td>\n",
       "      <td>2002-09-19</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chandeswori school in Ramechhap district</td>\n",
       "      <td>1</td>\n",
       "      <td>\"about 100\"</td>\n",
       "      <td>KE</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2002-10-12</td>\n",
       "      <td>Surkhet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>their homes in Surkhet district</td>\n",
       "      <td>1</td>\n",
       "      <td>maybe took place over 2 days, and may be an ag...</td>\n",
       "      <td>KE</td>\n",
       "      <td>2002</td>\n",
       "      <td>10</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>33</td>\n",
       "      <td>2006-11-16</td>\n",
       "      <td>Dhading</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>summary (over 70 in the past days) in Dhading</td>\n",
       "      <td>MC</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>500</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Banke</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MC</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>36</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Rautahat</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chandranigahpur</td>\n",
       "      <td>4</td>\n",
       "      <td>unclear date, this is their release date</td>\n",
       "      <td>MC</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>11</td>\n",
       "      <td>2006-11-22</td>\n",
       "      <td>Chitwan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ratnagar, Madi, Darechok</td>\n",
       "      <td>4</td>\n",
       "      <td>recruitment</td>\n",
       "      <td>MC</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>47</td>\n",
       "      <td>259</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>13</td>\n",
       "      <td>2006-12-13</td>\n",
       "      <td>Panchthar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kurumba, Limba</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MC</td>\n",
       "      <td>2006</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>262</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>367 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE                           DISTRICTNAME VDCMCP  \\\n",
       "0               6  2002-04-01                                Kalikot    NaN   \n",
       "1              11  2002-07-01                            Solukhumbu     NaN   \n",
       "2               8  2002-08-01  bordering Rolpa and Pyuthan districts    NaN   \n",
       "3             100  2002-09-19                              Ramechhap    NaN   \n",
       "4               5  2002-10-12                                Surkhet    NaN   \n",
       "..            ...         ...                                    ...    ...   \n",
       "362            33  2006-11-16                                Dhading    NaN   \n",
       "363           500  2006-11-18                                  Banke    NaN   \n",
       "364            36  2006-11-18                               Rautahat    NaN   \n",
       "365            11  2006-11-22                                Chitwan    NaN   \n",
       "366            13  2006-12-13                              Panchthar    NaN   \n",
       "\n",
       "                                              Location  Batch  \\\n",
       "0                                                  NaN      1   \n",
       "1                     Nele area of Solukhumbu district      1   \n",
       "2    travelling in a bus near Jaluki bordering Rolp...      1   \n",
       "3             Chandeswori school in Ramechhap district      1   \n",
       "4                      their homes in Surkhet district      1   \n",
       "..                                                 ...    ...   \n",
       "362                                                NaN      4   \n",
       "363                                                NaN      4   \n",
       "364                                    Chandranigahpur      4   \n",
       "365                           Ratnagar, Madi, Darechok      4   \n",
       "366                                     Kurumba, Limba      4   \n",
       "\n",
       "                                          Observations Coder   year  month  \\\n",
       "0    the family of a lawmaker from Kalikot were abd...     KE  2002      4   \n",
       "1                                                  NaN     KE  2002      7   \n",
       "2    The kidnappers were not identified but they ar...     KE  2002      8   \n",
       "3                                          \"about 100\"     KE  2002      9   \n",
       "4    maybe took place over 2 days, and may be an ag...     KE  2002     10   \n",
       "..                                                 ...    ...   ...    ...   \n",
       "362      summary (over 70 in the past days) in Dhading     MC  2006     11   \n",
       "363                                                NaN     MC  2006     11   \n",
       "364           unclear date, this is their release date     MC  2006     11   \n",
       "365                                        recruitment     MC  2006     11   \n",
       "366                                                NaN     MC  2006     12   \n",
       "\n",
       "     week  weekid  monthid  \n",
       "0      14      14        4  \n",
       "1      27      27        7  \n",
       "2      31      31        8  \n",
       "3      38      38        9  \n",
       "4      41      41       10  \n",
       "..    ...     ...      ...  \n",
       "362    46     258       59  \n",
       "363    46     258       59  \n",
       "364    46     258       59  \n",
       "365    47     259       59  \n",
       "366    50     262       60  \n",
       "\n",
       "[367 rows x 13 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>2002-01-04</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kailali</td>\n",
       "      <td>Paddon</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>2002-01-23</td>\n",
       "      <td>Unidentified (Student)</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Salyan</td>\n",
       "      <td>Shyunrat</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>2002-06-15</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Depalgaun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>2002-07-12</td>\n",
       "      <td>Unidentifed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Narakot</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>2002-07-16</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Kanaka Sundari</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>71</td>\n",
       "      <td>2006-11-16</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lamjung</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>12</td>\n",
       "      <td>2006-11-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Kaski</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>400</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Unidentified Children</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parsa</td>\n",
       "      <td>Birwaguthi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>400</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Unidentified Children</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parsa</td>\n",
       "      <td>Birwaguthi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>100</td>\n",
       "      <td>2006-12-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baitadi</td>\n",
       "      <td>Dehimandau</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>263</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>512 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE             VICTIMSNAME   AGE GENDER  \\\n",
       "0              10  2002-01-04                 Student   NaN    NaN   \n",
       "1              12  2002-01-23  Unidentified (Student)  25.0   Male   \n",
       "2              35  2002-06-15            Unidentified   NaN    NaN   \n",
       "3              20  2002-07-12             Unidentifed   NaN    NaN   \n",
       "4              22  2002-07-16            Unidentified   NaN    NaN   \n",
       "..            ...         ...                     ...   ...    ...   \n",
       "507            71  2006-11-16            Unidentified   NaN    NaN   \n",
       "508            12  2006-11-17            Unidentified   NaN   Male   \n",
       "509           400  2006-11-18   Unidentified Children   NaN    NaN   \n",
       "510           400  2006-11-18   Unidentified Children   NaN    NaN   \n",
       "511           100  2006-12-20            Unidentified   NaN    NaN   \n",
       "\n",
       "    DISTRICTNAME          VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION  \\\n",
       "0        Kailali          Paddon     9.0           0           Unavailable   \n",
       "1         Salyan        Shyunrat     4.0           0               Student   \n",
       "2          Jumla       Depalgaun     NaN           0               Student   \n",
       "3          Jumla         Narakot     5.0           0               Student   \n",
       "4          Jumla  Kanaka Sundari     NaN           0               Student   \n",
       "..           ...             ...     ...         ...                   ...   \n",
       "507      Lamjung                     NaN           0           Unavailable   \n",
       "508        Kaski                     NaN           0           Unavailable   \n",
       "509        Parsa      Birwaguthi     NaN           0           Unavailable   \n",
       "510        Parsa      Birwaguthi     NaN           0           Unavailable   \n",
       "511      Baitadi      Dehimandau     NaN           0               Student   \n",
       "\n",
       "    DESIGNATION  KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "0           NaN  By Non-State         Maoists               Abduction   \n",
       "1       Student  By Non-State         Maoists               Abduction   \n",
       "2       Student  By Non-State         Maoists               Abduction   \n",
       "3       Student  By Non-State         Maoists               Abduction   \n",
       "4       Student  By Non-State         Maoists               Abduction   \n",
       "..          ...           ...             ...                     ...   \n",
       "507         NaN  By Non-State         Maoists               Abduction   \n",
       "508         NaN  By Non-State         Maoists               Abduction   \n",
       "509         NaN  By Non-State         Maoists               Abduction   \n",
       "510         NaN  By Non-State         Maoists               Abduction   \n",
       "511         NaN  By Non-State         Maoists               Abduction   \n",
       "\n",
       "    VICTIMSTATUSSUBDESCRIPTION  year  month  week  weekid  monthid  \n",
       "0                    Abduction  2002      1     1       1        1  \n",
       "1                    Abduction  2002      1     4       4        1  \n",
       "2                    Abduction  2002      6    24      24        6  \n",
       "3                    Abduction  2002      7    28      28        7  \n",
       "4                    Abduction  2002      7    29      29        7  \n",
       "..                         ...   ...    ...   ...     ...      ...  \n",
       "507                  Abduction  2006     11    46     258       59  \n",
       "508                  Abduction  2006     11    46     258       59  \n",
       "509                  Abduction  2006     11    46     258       59  \n",
       "510                  Abduction  2006     11    46     258       59  \n",
       "511                  Abduction  2006     12    51     263       60  \n",
       "\n",
       "[512 rows x 20 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Weekly Time Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ngo_week = ngo.groupby('weekid', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"CASEQUANTITY\":'ngo_abductions',\"CASEDATE\":'ngo_events'})\n",
    "\n",
    "media_week = media.groupby('weekid', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"CASEQUANTITY\":'media_abductions',\"CASEDATE\":'media_events'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>259</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>260</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>261</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>262</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>263</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>263 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekid  ngo_abductions  ngo_events  media_abductions  media_events\n",
       "0         1              10           1                 0             0\n",
       "1         2               0           0                 0             0\n",
       "2         3               0           0                 0             0\n",
       "3         4              12           1                 0             0\n",
       "4         5               0           0                 0             0\n",
       "..      ...             ...         ...               ...           ...\n",
       "258     259               0           0                11             1\n",
       "259     260               0           0                 0             0\n",
       "260     261               0           0                 0             0\n",
       "261     262               0           0                13             1\n",
       "262     263             100           1                 0             0\n",
       "\n",
       "[263 rows x 5 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaffold = pd.DataFrame(list(range(1,264)),columns=['weekid'])\n",
    "scaffold = scaffold.merge(ngo_week, on='weekid', how='left')\n",
    "scaffold = scaffold.merge(media_week, on='weekid', how='left')\n",
    "weekly = scaffold.fillna(0).astype('int32')\n",
    "weekly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 15]\n",
    "#weekly[['ngo_abductions','media_abductions']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>259</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>260</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>261</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>262</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>263</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>263 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekid  ngo_abductions  ngo_events  media_abductions  media_events\n",
       "0         1              10           1                 0             0\n",
       "1         2               0           0                 0             0\n",
       "2         3               0           0                 0             0\n",
       "3         4              12           1                 0             0\n",
       "4         5               0           0                 0             0\n",
       "..      ...             ...         ...               ...           ...\n",
       "258     259               0           0                11             1\n",
       "259     260               0           0                 0             0\n",
       "260     261               0           0                 0             0\n",
       "261     262               0           0                13             1\n",
       "262     263             100           1                 0             0\n",
       "\n",
       "[263 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 15]\n",
    "w=weekly[['ngo_events','media_events']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "w.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = [15, 15]\n",
    "weekly[['ngo_events']].plot.bar()\n",
    "weekly[['media_events']].plot.bar(rot=180)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly['zero']=0\n",
    "weekly['abductions_delta'] = weekly['ngo_abductions']-weekly['media_abductions']\n",
    "weekly['events_delta'] = weekly['ngo_events']-weekly['media_events']\n",
    "weekly['log_abductions_delta'] = np.log10(weekly['ngo_abductions']+1)-np.log10(weekly['media_abductions']+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Above blue line, NGO over-report in terms of count. Below, NGO under-report.\n",
    "weekly[['abductions_delta','zero']].plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekly[['events_delta','zero']].plot()\n",
    "weekly[['events_delta']].rolling(window=3).mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Above blue line, NGO over-report in terms of abductions count. Below, NGO under-report.\n",
    "weekly[['log_abductions_delta','zero']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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mLPzu7/5uvPzlL48//uM/ji/7si+rb3/Sk54UH/vYx+LhD3/4VO/v0Y9+dLz//e8fuu0DH/hAPOIRj4iFhYVtOWdmQ1soAAAAQMNHP/rR+I//8T/Gi1/84rj22mvjtttui9tuuy3uueeeePGLXxwf/OAH49nPfnZ85CMfiRtvvDHe9ra3xXOf+9wt3+cLX/jCeM973hM//dM/Hf/4j/8Yv/mbvxm/8iu/Ei960Yt26bNipwjXAAAAABo+/OEPx+nTp+MVr3hFPPCBD6xfvvM7vzMe97jHxfve97648cYb41/8i38RT3ziE+OlL31pPPCBD9zyfT7pSU+K3/md34nf+q3fisc85jHxkz/5k/Hyl788nvnMZ+7OJ8WOsS20z7ZQAAAA2F5bbWOEWbMtFAAAAABmTLgGAAAAAC0J1wAAAACgJeEaAAAAALQkXAMAAICWqqqKH3/rDfFr779p1qeyp1mmyF60XY9L4RoAAAC09Lm7T8f/89dfiF/+0xtnfSp70sLCQkRErKyszPhMYKP8uMyP07YWt+NkAAAAoETr3W5ERKytq8waZ3FxMQ4fPhx33nlnLC0tRaejxoe9odvtxp133hmHDx+OxcULi8eEawAAANBSt5+pidbGSynFAx/4wLjpppvi85///KxPB4Z0Op14yEMeEimlC3o/wjUAAABoKY9sMlNsc8vLy/HlX/7lWkPZc5aXl7elmlK4BgAAAC1V/Zq1rmxtS51OJw4ePDjr04AdodkZAAAAWuqPXKtDNqA8wjUAAABoKYdqukKhXMI1AAAAaGkwc2225wHMjnANAAAAWqrDNW2hUCzhGgAAALRkoQEgXAMAAICWBm2h0jUolXANAAAAWur2QzXRGpRLuAYAAAAt5VBN4RqUS7gGAAAALTVDNa2hUCbhGgAAALTUDNRka1Am4RoAAAC01MzTutI1KJJwDQAAAFoaagud3WkAMyRcAwAAgJaa1Woq16BMwjUAAABoaXihwezOA5gd4RoAAAC0VGkGheIJ1wAAAKClZrWatlAok3ANAAAAWtIWCgjXAAAAoKVmW6jKNSiTcA0AAABa6jYr12Z3GsAMCdcAAACgpapRraZwDcokXAMAAICWmnlaJV2DIgnXAAAAoCWVa4BwDQAAAFqqzFyD4gnXAAAAoKVmuGZbKJRJuAYAAAAtdbWFQvGEawAAANCShQaAcA0AAABaMnMNEK4BAABAa9pCoXTCNQAAAGipa6EBFE+4BgAAAC1pCwWEawAAANBSNdQWKl6DEgnXAAAAoKVmW6hsDcokXAMAAICWmtVqwjUok3ANAAAAtoGFBlAm4RoAAAC01AzURGtQJuEaAAAAtDS0LVTlGhRJuAYAAAAtNfO0rmwNiiRcAwAAgJaG56xJ16BEwjUAAABoaShak61BkYRrAAAA0Ja2UCiecA0AAABaGt4WKl2DEgnXAAAAoKVmnNbtzuw0gBkSrgEAAEBLzTlrKtegTMI1AAAAaGmoLVS2BkUSrgEAAEBLtoUCwjUAAABoy0IDKJ5wDQAAAFrqVuPfBsohXAMAAICWqqGZa9I1KJFwDQAAAFqqNnkbKIdwDQAAAFpqtoKqXIMyCdcAAACgpeG20BmeCDAzwjUAAADYBrI1KJNwDQAAAFrqNsrVutaFQpGEawAAANBSsxVUtAZlEq4BAABAS81ArWvoGhRJuAYAAAAtdZWuQfGEawAAANCSbA0QrgEAAMA20BYKZRKuAQAAQEtVI1CTrUGZhGsAAADQUldbKBRPuAYAAAAtNavVtIVCmYRrAAAA0FIVStegdMI1AAAAaKmrcg2KJ1wDAACAtiw0gOIJ1wAAAKClapO3gXK0DtdSSt+QUvqDlNItKaUqpfS/jtyfUkov699/JqX03pTStSPHHEgp/XJK6a6U0qmU0ttSSg8eOeaylNKbU0rH+i9vTildOnLMQ/rncqr/vl6TUlpu+7kBAADAJJqtoNpCoUwXUrl2UUT8fUQ8Z5P7fywiXtC//8kRcVtE/ElK6eLGMddFxDMi4rsj4usj4khEvD2ltNA45i0R8YSIeFr/5QkR8eZ8Z//YP+yfz9f339d3RcSrL+BzAwAAgPNq5mmyNSjTYtu/WFXVH0fEH0dEpJSG7ku9G54fET9TVdVb+7d9f0TcHhHfExFvSCldEhE/EBH/oaqqd/eP+b6IuDkiviUi3plSelT0ArWvrqrqQ/1jfjAiPphSemRVVZ+KiG+LiEdHxNVVVd3SP+aFEfEbKaWfqKrqeNvPEQAAALZSbfEnoAw7NXPtoRFxVUS8K99QVdW5iHhfRHxt/6avjIilkWNuiYiPNo75mog4loO1/jF/FRHHRo75aA7W+t4ZEQf6HwMAAAB2xHBb6AxPBJiZ1pVr53FV//XtI7ffHhFf2jhmpaqqe8ccc1XjmDvGvP87Ro4Z+jhVVd2bUlppHLNBSulA9AK47OLNjgUAAICxtIVC8XZ6W+joj5Y05rZRo8eMO77NMaN+PHoVcPnli+c5LwAAABjSfNJpoQGUaafCtdv6r0crx66MQZXZbRGxnFK67DzHPGDM+79i5Jihj9N/n0uxsXKu6Wcj4pLGy4O3OBYAAAA26DZ6QUVrUKadCtduil7o9a35hpTSckQ8JSI+0L/p+ohYHTnmgRHxmMYxH4yIS1JK/6xxzD+PXhjWPOYx/b+bfVtEnOt/jLGqqjpXVdXx/BIRJ1p8ngAAABRsqKVK5RoUqfXMtZTSkYh4eOOmh6aUnhAR91RV9YWU0nUR8ZKU0o0RcWNEvCQiTkfEWyIiqqo6llJ6U0S8OqV0d0TcExGviogbIuLd/WM+kVJ6R0S8MaX0Q/2P86sR8fb+ptCI3kKEj0fEm1NKPxoR9+u/nzfaFAoAAMBOqsxcg+JdyEKDr4qIP2v8+Rf7r38zIp4ZET8fEYci4nURcVlEfCgivq2qqmaF2I9ExFpE/E7/2PdExDOrqlpvHPO9EfGaGGwVfVtEPCffWVXVekrpX/c/zl9GxJnoBXgvuoDPDQAAAM6rOWet0hgKRWodrlVV9d7oLQ3Y7P4qIl7Wf9nsmLMR8dz+y2bH3BMR33eec/lCRHz7VscAAADATup2Z30GwCzs9LZQAAAA2LeqykIDKJ1wDQAAAFrqDs1cE69BiYRrAAAA0FJzzppsDcokXAMAAICWhraFagyFIgnXAAAAoKXhttDZnQcwO8I1AAAAaG2QqHWFa1Ak4RoAAAC0pC0UEK4BAABAS91K5RqUTrgGAAAALQ3NWTN0DYokXAMAAICWqk3eBsohXAMAAICWhtpC9YVCkYRrAAAA0FY19k2gIMI1AAAAaMnINUC4BgAAAC1VQ9tCpWtQIuEaAAAAtGTMGiBcAwAAgJaa2ZrKNSiTcA0AAABaaraFytagTMI1AAAAaKmyLRSKJ1wDAACAlqqw0ABKJ1wDAACAloYq12RrUCThGgAAALSkWg0QrgEAAEBLzWyt2xW0QYmEawAAANBStcnbQDmEawAAANBSVVloAKUTrgEAAEBLFhoAwjUAAABoSVsoIFwDAACAlpqtoJXSNSiScA0AAABa0hYKCNcAAACgpWaeZqEBlEm4BgAAAC01W0FFa1Am4RoAAAC0pC0UEK4BAABAS1VYaAClE64BAABAS93u4G3RGpRJuAYAAAAtqVwDhGsAAADQUjNP68rWoEjCNQAAAGjJQgNAuAYAAAAtNdtCu9I1KJJwDQAAAFqSpwHCNQAAAGipWa1moQGUSbgGAAAALTXjNAsNoEzCNQAAAGhpaKFBSNegRMI1AAAAaKkZp+kKhTIJ1wAAAKCl5pw1baFQJuEaAAAAtDRcrSZdgxIJ1wAAAKCl5py1bneGJwLMjHANAAAAWmoGahYaQJmEawAAANCShQaAcA0AAABastAAEK4BAABAS81qNW2hUCbhGgAAALQ0FKjJ1qBIwjUAAABoqVm51jV0DYokXAMAAICWmoGaaA3KJFwDAACAlpqBmoUGUCbhGgAAALTVHLmmLRSKJFwDAACAlrSFAsI1AAAAaKkZqKlcgzIJ1wAAAKClqhr/NlAO4RoAAAC01GwL7UrXoEjCNQAAAGhJ5RogXAMAAIBtIFuDMgnXAAAAoKWhbaFK16BIwjUAAABoSVsoIFwDAACAlqpGM6hsDcokXAMAAICWulXzbfEalEi4BgAAAC1pCwWEawAAANDaIFFTuQZlEq4BAABAS115GhRPuAYAAAAtVY1qNYVrUCbhGgAAALTUzNO0hUKZhGsAAADQUrercg1KJ1wDAACAlqqht6VrUCLhGgAAALTVyNMsN4AyCdcAAACgpWrTPwClEK4BAABAS80lBhYaQJmEawAAANBSM08TrUGZhGsAAADQUnOJQaVyDYokXAMAAICWuhYaQPGEawAAANCWtlAonnANAAAAWqqG0jXxGpRIuAYAAAAtaQsFhGsAAADQUnOJQaUxFIokXAMAAICWmnFatzuz0wBmSLgGAAAALVUWGkDxhGsAAADQQjWywGD0z0AZhGsAAADQwmiWJluDMgnXAAAAoIXuaOWaxlAoknANAAAAWhiN0rqyNSiScA0AAABa2NgWKl2DEgnXAAAAoIWNbaFAiYRrAAAAsA0UrkGZhGsAAADQgrZQIEK4BgAAAK1oCwUihGsAAADQysZtoeI1KJFwDQAAAFoYbQOVrUGZhGsAAADQQnfDzLXZnAcwW8I1AAAAaMNCAyCEawAAANBKFRYaAMI1AAAAaGW0LdRCAyiTcA0AAABasNAAiBCuAQAAQCujWZpsDcokXAMAAIAWRttALTSAMgnXAAAAoI0N20JncxrAbAnXAAAAoIXRLM1CAyiTcA0AAABaGM3SRGtQJuEaAAAAtLBx5tqMTgSYKeEaAAAAtKAtFIgQrgEAAEArG7aDytagSMI1AAAAaEG2BkQI1wAAAKCV0XBNWyiUSbgGAAAALVRhoQEgXAMAAIBWuirXgBCuAQAAQCujCw1Ea1Am4RoAAAC0sCFMk65BkYRrAAAA0MJo5Zq2UCiTcA0AAABaGM3SRGtQJuEaAAAAtDAapqlcgzIJ1wAAAKCF0TBNtgZlEq4BAABACzlMS6l5m4QNSiNcAwAAgBZyjrbQSNdka1Ae4RoAAAC0kNtCO51GuDarkwFmRrgGAAAAF6CjLRSKJlwDAACAFsa1hXZla1Ac4RoAAAC0ML4tVLoGpRGuAQAAQAs5RutYaABFE64BAABAC3m+2kJHuAYlE64BAABAC3m+2lDlmrZQKI5wDQAAAFrpz1xrbAu10ADKI1wDAACAFuptoUNtodI1KI1wDQAAAFoY3xYKlEa4BgAAAC2MXWjQndXZALMiXAMAAIAWcpVac+aahQZQnh0N11JKiymlV6SUbkopnUkpfTal9JMppU7jmJRSellK6Zb+Me9NKV078n4OpJR+OaV0V0rpVErpbSmlB48cc1lK6c0ppWP9lzenlC7dyc8PAACAcnX7lWudRrpmoQGUZ6cr114cEc+KiOdExKMi4sci4kcj4rmNY34sIl7QP+bJEXFbRPxJSunixjHXRcQzIuK7I+LrI+JIRLw9pbTQOOYtEfGEiHha/+UJEfHmbf58AAAAoCcvNEgWGkDJFnf4/X9NRPx+VVV/2P/z51JK/z4iviqiV7UWEc+PiJ+pquqt/du+PyJuj4jviYg3pJQuiYgfiIj/UFXVu/vHfF9E3BwR3xIR70wpPSp6gdpXV1X1of4xPxgRH0wpPbKqqk/t8OcJAABAYQZtoRYaQMl2unLt/RHxzSmlR0REpJQeH73Ksz/q3//QiLgqIt6V/0JVVeci4n0R8bX9m74yIpZGjrklIj7aOOZrIuJYDtb6x/xVRBxrHDOk32p6NL9ExMXjjgMAAIBxcpFaSr2XiEGrKFCOna5ce2VEXBIRn0wprUfEQkT8RFVV/0///qv6r28f+Xu3R8SXNo5Zqarq3jHHXNU45o4xH/+OxjGjfjwi/ssknwQAAACMagZpKfpVa7I1KM5OV679fyLi+6LX4vmkiPj+iHhRv/WzafTHTxpz26jRY8Ydv9X7+dnoBX/55cGbHAcAAAAb5CebKaW6NVS2BuXZ6cq1X4iIn6uq6rf6f74hpfSl0asa+83oLS+I6FWX3dr4e1fGoJrttohYTildNlK9dmVEfKBxzAPGfPwrYmNVXETU7afn8p9To0ceAAAAzicvL+hoC4Wi7XTl2uGI6I7ctt74uDdFLxj71nxnSmk5Ip4Sg+Ds+ohYHTnmgRHxmMYxH4yIS1JK/6xxzD+PXkVaPgYAAAC2zdDMtUhDtwHl2OnKtT+IiJ9IKX0hIj4WEU+MiBdExK9FRFRVVaWUrouIl6SUboyIGyPiJRFxOiLe0j/mWErpTRHx6pTS3RFxT0S8KiJuiIh394/5RErpHRHxxpTSD/U/9q9GxNttCgUAAGAnVP0m0BRJ5RoUbKfDtedGxE9HxOui18Z5S0S8ISJe3jjm5yPiUP+YyyLiQxHxbVVVnWgc8yMRsRYRv9M/9j0R8cyqqtYbx3xvRLwmBltF3xYRz9nmzwcAAAAiYlCl1mwLla1BeXY0XOsHZM/vv2x2TBURL+u/bHbM2egFdc/d4ph7orc8AQAAAHZcd7DRoF5oAJRnp2euAQAAwL6UFxqk/kuEtlAokXANAAAAWsgxWq8t1EIDKJVwDQAAAFqoK9eShQZQMuEaAAAAtJBztGZbqGgNyiNcAwAAgBYGbaFJWygUTLgGAAAALXQbpWudfulaJV2D4gjXAAAAoIWhttBcuTa70wFmRLgGAAAALTTbQgeVazM7HWBGhGsAAADQwmBbaEReaWBbKJRHuAYAAAAt1G2hKQdsKtegRMI1AAAAaKHqN4Y220JVrkF5hGsAAADQQrc7eDv120KB8gjXAAAAoIVco5ZS0hYKBROuAQAAQAt5oUEn9VpDI7SFQomEawAAANBCvdCgedtMzgSYJeEaAAAAtJAXGqSUotN/dl2pXIPiCNcAAACghZyjddJgoUFXtgbFEa4BAABAC4MgbbDQQGMolEe4BgAAAC0M2kKbCw1meUbALAjXAAAAoIXhttDh24ByCNcAAACghZyjpUZbqIUGUB7hGgAAALSQg7SUehtDI7SFQomEawAAANDCoC00DdpCLTSA4gjXAAAAoIW6BbSx0EC2BuURrgEAAEAL3UG2Vs9c0xYK5RGuAQAAQAs5R6ur1kJbKJRIuAYAAAAtNBcadCw0gGIJ1wAAAKCFakxbaD2HDSiGcA0AAABayC2gKaW6ck20BuURrgEAAEALdeVaUrkGJROuAQAAQAuDbaEp8koD2RqUR7gGAAAALQzaQnutoREWGkCJhGsAAADQQq5S62gLhaIJ1wAAAKCFHKQNtYXO7nSAGRGuAQAAQAvNhQb1tlCVa1Ac4RoAAAC0kGO0lFKjLXRmpwPMiHANAAAAWuhWGxcayNagPMI1AAAAaKFuC+2/RAwCN6AcwjUAAABoIcdoHW2hUDThGgAAALRQNdpC80IDlWtQHuEaAAAAtDDUFpq2PBTYx4RrAAAA0EIVuXItRepPXVO4BuURrgEAAEAL3Vy5lgaVa9pCoTzCNQAAAGhh0BaaIiWVa1Aq4RoAAAC0kNtCO6n30rsNKI1wDQAAAFqomm2h/du0hUJ5hGsAAADQQlU1FhokpWtQKuEaAAAAtNCsXOtYaADFEq4BAABAC93GQoPcGCpag/II1wAAAKCFvNCgWbmmcA3KI1wDAACAFnKQ1km9gC1CWyiUSLgGAAAAFyD1/xehLRRKJFwDAACAFrpVoy20/+y6UrkGxRGuAQAAQAuDbaGNyjXZGhRHuAYAAAAt1AsN6v9TuQYlEq4BAABAC926ci2i099o0JWtQXGEawAAANDCYFtobgq10ABKJFwDAACAVgZtoR1toVAs4RoAAAC00O32XqfUW2oQYaEBlEi4BgAAAC3UCw2G2kKla1Aa4RoAANDa2no3bjt2dtanATNRNRYaJAsNoFjCNQAAoLX//NYb4qt/9j3xiVuPz/pUYNfV20IjRapnrs3ufIDZEK4BAACtfebOkxER8fm7T834TGD3DdpCQ1soFEy4BgAAtJYrd7TCUaT+476TIjoWGkCxhGsAAEBr3X6q1pUoUKD8uB9uC3UtQGmEawAAQGs5XFC5Ronyw7650EC2BuURrgEAAK2t91M11TqUaLAtdFC5JmiG8gjXAACA1qp65ppEgfIM2kItNICSCdcAAIDW1vvhwnp3xicCM9BsC80LDVSuQXmEawAAQGsWGlC0elvooC3U0DUoj3ANAABoLYdqZq5RorotNDXbQoHSCNcAAIDW1m0LpWD1QoMYbAtVxQnlEa4BAACtdfuz1gQKlCgvL2huC3UpQHmEawAAQGtdlWsULD/umwsNXApQHuEaAADQ2nrXzDXKNWgLTfXMNVWcUB7hGgAA0Fqu3OkqXaNIvcd9J0VjW+jszgaYDeEaAADQmrZQSjauLVTlGpRHuAYAALQ2CNcECpQnt0OnSBEWGkCxhGsAAEBreeaacI0S5Ue9hQZQNuEaAADQWs7UtIVSokFbqIUGUDLhGgAA0JrKNUo2aAsdLDRwKUB5hGsAAEBr6/0kQaBAyTqdRluoiwGKI1wDAABay0FCV18oBco5WopBW6grAcojXAMAAFobtIXO+ERgBnI7dGr0hSpcg/II1wAAgNa69UIDiQLlqRoLDTr90jXXApRHuAYAALTSbAU1Z4oSVdFYaNBvDHUlQHmEawAAQCvrjUBNWygl6taVa1FXrsmZoTzCNQAAoJXuULgmUaBA/Yd9J6U8ck0VJxRIuAYAALTS7TbelidQoKG2UAsNoFjCNQAAoBWVa5Su2RaaLDSAYgnXAACAVoZmrildo0C5BTSlZKEBFEy4BgAAtFJpC6Vw+WHfawvt3+ZagOII1wAAgFbWtYVSuEFbaGpsC3UtQGmEawAAQCvrjXI1gQJF6j/uOym0hULBhGsAAEAr1VDl2gxPBGakbgtNzbZQFwOURrgGAAC0oi2U0uXHfYoUqZ+uCZqhPMI1AACglWaIIFCgRFVjo0HKt83qZICZEa4BAACtdM1co3D5Yd9pLDRQxQnlEa4BAACtdLWFUrhBW2jUbaFK16A8wjUAAKCV5rbQ9e4MTwRmbGihgXQNiiNcAwAAWmlWq2kLpUTNttB6oYGgGYojXAMAAFoZXmggXKM8Q22h/dtUrkF5hGsAAEArzbZQ20IpUf2wT73qtYjGBlGgGMI1AACgFQsNKF1uh+61hfZuEzRDeYRrAABAK83ZUrI1SpQf9822UOtCoTzCNQAAoJV1lWsULj/qU0p1W6jKNSiPcA0AAGhFWyilG7SFRl26ZnMulEe4BgAAtNK10IDC5cd9ai40mOH5ALMhXAMAAFppBmqqdShRNWgMrWeuCZqhPMI1AACglfVGirAuUaBAOVPupKi3hQqaoTzCNQAAoJWq0hZK2eptoY2FBrI1KI9wDQAAaMW2UEqXA+YUjco1U9egOMI1AACglWYrqGyNEuWHfa5ai3AtQImEawAAQCvNEEHlGiWqxmwLdS1AeYRrAABAK83KNYECJWo+7gcLDWZ0MsDMCNcAAIBWuhYaULhmW2i90GB2pwPMiHANAABopRmuVcp1KFCzLTTVt7kWoDTCNQAAoJX17uBtlWuUqN4WmrSFQsmEawAAQCvDbaESBcrTbAtNFhpAsYRrAABAK2auUbq6ci0abaEzOxtgVoRrAABAK0PhmnSNAnWbM9fyQgOXAhRHuAYAALQyPHNNokB5BjPXUnTS8G1AOYRrAABAK9pCKV1+2KdoLDSY1ckAMyNcAwAAWmm2gqrWoURV3RaatIVCwYRrAABAK+u2hVK4HCp30mChgWsByiNcAwAAWmm2gmoLpUSDtlCVa1Ay4RoAANBKsy1UtQ4l6tYLDaJeaOBagPII1wAAgFaaIYI8gRI1H/epbgwFSiNcAwAAWllXuUbh8qO+00mDbaEuBSiOcA0AAGilGpq5JlGgPHmhQYqowzXXApRnx8O1lNKXpJT+75TS3Sml0ymlj6SUvrJxf0opvSyldEtK6UxK6b0ppWtH3seBlNIvp5TuSimdSim9LaX04JFjLkspvTmldKz/8uaU0qU7/fkBAECphraFdmd4IjAj+RJIadAWKlqD8uxouJZSuiwi/jIiViPiX0bEoyPihRFxX+OwH4uIF0TEcyLiyRFxW0T8SUrp4sYx10XEMyLiuyPi6yPiSES8PaW00DjmLRHxhIh4Wv/lCRHx5u39jAAAgExbKKWr20JTqhcaVK4FKM7iDr//F0fEzVVV/W+N2z6X30i9XcXPj4ifqarqrf3bvj8ibo+I74mIN6SULomIH4iI/1BV1bv7x3xfRNwcEd8SEe9MKT0qeoHaV1dV9aH+MT8YER9MKT2yqqpP7ehnCQAABWqGCMI1StQdagvtV665FKA4O90W+h0R8eGU0v+bUrojpfR3/dAre2hEXBUR78o3VFV1LiLeFxFf27/pKyNiaeSYWyLio41jviYijuVgrX/MX0XEscYxQ/qtpkfzS0RcPO44AABgvPVGK2hXoECB6iAtDWauuRSgPDsdrj0sIn44Im6MiKdGxH+PiNeklP5j//6r+q9vH/l7tzfuuyoiVqqquvc8x9wx5uPf0Thm1I9HL3zLL1883ycDAAAMNKvVtMJRmuZjvtkWqooTyrPT4VonIv62qqqXVFX1d1VVvSEi3hi9wK1p9KdPGnPbqNFjxh2/1fv52Yi4pPHy4E2OAwAAxugOtYXO8ERgBpoZWmr8v2wNyrPT4dqtEfHxkds+EREP6b99W//1aHXZlTGoZrstIpb7yxG2OuYBYz7+FbGxKi4ieu2nVVUdzy8RcWKrTwQAABhmoQElaz7iU3OhgcZQKM5Oh2t/GRGPHLntERHx+f7bN0UvGPvWfGdKaTkinhIRH+jfdH30to02j3lgRDymccwHI+KSlNI/axzzz6NXkZaPAQAAtlGzWq2rdI3CDLeFDhYadLub/Q1gv9rpbaG/FBEfSCm9JCJ+JyL+WUT8H/2XqKqqSildFxEvSSndGL3ZbC+JiNMR8Zb+McdSSm+KiFenlO6OiHsi4lURcUNEvLt/zCdSSu+IiDemlH6o/7F/NSLeblMoAADsjOGZazM8EZiB7lBbaOo3hQIl2tFwraqqv0kpPSN6881+MnqVas+vqup/NA77+Yg4FBGvi4jLIuJDEfFtVVU12zR/JCLWohfQHYqI90TEM6uqWm8c870R8ZoYbBV9W0Q8Z9s/KQAAICKGq9W0hVKaofbP1FtqEOFagBLtdOVaVFX19oh4+xb3VxHxsv7LZsecjYjn9l82O+aeiPi+tucJAABMZ91CAwrWzNB6baEbbwfKsNMz1wAAgH2qGSKsSxQoWJ63FmGhAZRIuAYAALTS3BZaCdcoTLP9M0WzLXRGJwTMjHANAABoRVsoJRtuC03aQqFgwjUAAKCVqrLQgHI1H/GpsdAgtIVCcYRrAABAK8NtoVpDKctooJyzNVWcUB7hGgAA0MpoiCBboyQb2kLr210IUBrhGgAA0Ep3JF3TGkpRGg/3lAYbQ1WuQXmEawAAQCvr1Wi4NqMTgRkY3RY6WGjgQoDSCNcAAIBWRsM0lWuUpPloH2oLncXJADMlXAMAAFoZbQuVrVGSZoVac1uo6wDKI1wDAABaGa1UG20Thf2sOzRzLWkLhYIJ1wAAgFbWLTSgYFW/ATSHanXl2qxOCJgZ4RoAANDK6My1qjub84CZ6D/+08jNQmYoj3ANAABoZTREECpQkhwup37F2qAtdEYnBMyMcA0AAGhFWygly22hndG2UJcBFEe4BgAAtLKxcm1GJwIzUNVtoSOVa6auQXGEawAAQCuj4ZotiZSkWw0PXcshm8sAyiNcAwAAWumOLDBQuUZJcog2aAvtvdYeDeURrgEAAK2sW2gAdcVa1G2hQGmEawAAQCujbaDCNUqSH+/JQgMonnANAABoZcO20O4mB8I+NDJyrX7du0/CBiURrgEAAK2sj+QHKtcoSX6054q1lAbxmksByiJcAwAAWtEWSslGt4V20pj7gCII1wAAgFY2tIXKEyjIxrbQRuXa7p8OMEPCNQAAoJXRMM2cKcrSe7x3+iVrqfHs2qUAZRGuAQAArXRVrlGw7hYLDbSFQlmEawAAQCvrZq5RsLotdMxCA6AswjUAAKCV0TBNuEZJqtwWaqEBFE+4BgAAtDLaFipPoCTdbn6rX7nWXGjgWoCiCNcAAIBWRmesqdahJLlyLXeDNrtCXQlQFuEaAADQyrqFBhQsZ8mdMeGaoBnKIlwDAABaqUYChNGwDUqQtIVC8YRrAABAK6PbQkfDNtjPcnVaGrPQQF8olEW4BgAAtLLeHf6zwjVKMmgL7VeuNfpCtYVCWYRrAABAK6OVagIFSjL6aFe4BuUSrgEAAK3kttDcDidcoySjbaEWGkC5hGsAAEAr3X4f6GKn97RCnkBJtmoLdS1AWYRrAABAK3nG2uJC6v9ZokBJhivXmm9XGkOhKMI1AACglfW6ci2Ha7M8G9hd+fHenLWWq9jkzFAW4RoAANBKrlRbXOgM/RlKMNoWGjEI2lwKUBbhGgAA0EodrnVytY5EgXLUj/dG6VpduaYtFIoiXAMAAFqpZ671w7X17gxPBnbZuLbQSMP3AWUQrgEAAK3UM9e0hVKgXJ02vi3UtQAlEa4BAABTa4YHeVuoQIGi5Mq1cW2hLgUoinANAACY2nqj722pkyvXZnU2sPsGbaGNyrX+m8I1KItwDQAAmNr6mMo1baGUJLeFNivX0sh9QBmEawAAwNSaOVpeaKByjZLUy0Ib6VpuC3UtQFmEawAAwNSabaF5oYGZa5QkV2qO2xbqWoCyCNcAAICpNVtAFzraQilPfrR3Gs+q64UGu386wAwJ1wAAgKl1u4O3l/LMte4mB8N+tOVCA/EalES4BgAATK1ZpbZYbwsVKFCOui103EIDlwIURbgGAABMbX1MW6hAgZJYaABkwjUAAGBq3X560EmDQGFdukZB8qO9udCgbgs1dQ2KIlwDAACmlitzOilFv3BNWyhFGdsWmlRxQomEawAAwNRylVqnkxrbQmd5RrC76rbQxm35bUEzlEW4BgAATG1cW6gNiZQlXwPjtoXO4nyAWRGuAQAAU8uVOQsp1YFCV+kaBenWCw0Gt3W0hUKRhGsAAMDU1ruDtlAbEinRoC20UbmW77PQAIoiXAMAAKZmoQGlywGahQaAcA0AAJha3RbaqFwTKFCScW2hSdAMRRKuAQAAU8vhQScNqnUECpQkL/AYagvNCw1mcULAzAjXAACAqdUz14baQmd4QjAjncazalWcUCbhGgAAMLUcHiwMLTSQKFCOLRcauBagKMI1AABgakOVa/1nFV2laxQkh8ljFxrM4oSAmRGuAQAAU1vPM9c60ahcm+UZwe6qK9fSxplrgmYoi3ANAACYWlU1Z65pC6U8+dHeKFwbtIXu8rkAsyVcAwAAprbe7b1eaCw0MGeKkmzZFupSgKII1wAAgKk1g4WkLZQS9R/vnUa6JmiGMgnXAACAqeWZUraFUqqqn64Nt4VaaAAlEq4BAABTWx+auda7TeUaJenWCw0Gt6W6cm33zweYHeEaAAAwtW6jJa7TyXOmJAqUY/y2UFWcUCLhGgAAMLVmW2iqK9cECpRjfFtovg8oiXANAACYWrduCx0MdM8bRKEE49pCO518n3gNSiJcAwAAprbeTxY6nebMNYECBWnMHczyQgOla1AW4RoAADC1XLWzkAbbQs1coyT50T52oYF0DYoiXAMAAKbWHdoWmoe4z/KMYHfluYMpxiw00CINRRGuAQAAUxu0hUYjXJOuUY6xlWsj9wFlEK4BAABTG65cy7fN8IRgl1X1QoNBupavBS3SUBbhGgAAMLUcri10UnQ6Zq5RnnwNNArXBm2hLgUoinANAACYWp4plVKq2+K0hVKizpi2UI2hUBbhGgAAMLX1XLmWwkIDijS+LdS1ACUSrgEAAFOrmm2hKtco0Li20Khnru366QAzJFwDAACmtt5oC83VOgIFSjLYFjpmoYG2UCiKcA0AAJjaoC001eHCul44CjJoCx3clkJbKJRIuAYAAEwtt4V2OqEtlCKN3xbae21zLpRFuAYAAEwtV6l1UoqFjrZQytUZs9DAtQBlEa4BAABTy21vnUZbqMo1SpKr04baQs1cgyIJ1wAAgKl1u7aFUrbumJlrmUsByiJcAwAAppYXGnQa20INcackgwBtY1uoawHKIlwDAACm1q3DtcFCA0PcKUlu/eyMawt1LUBRhGsAAMDUmm2hSbUOBRrXFlovNJjB+QCzI1wDAACmNggWmm2hIgUKkhcaNNpCU32XawFKIlwDAACmtl5XrkVjocEMTwh2WX64j28L3fXTAWZIuAYAAEwtV+YsNCvXpGsUpGpUb2ZapKFMwjUAAGBqeVtoSqmu1tEWSknGPd7rtlBT16AowjUAAGBq693e64WOmWuUadAW2qxc69/nUoCiCNcAAICp5bbQTuoFbBFa4ShLtdW2UOkaFEW4BgAATC0vNOh0Uj3QXaBASap6W+hAXbm2+6cDzJBwDQAAmFquUuukZIg7RarbQjsbFxrImaEswjUAAGBq3XHbQiUKFGRs5Vr/tWsByiJcAwAApjauLVTlGiWpH++NdE3lGpRJuAYAAEyt21hoYIg7JaoardHZIGh2LUBJhGsAAMDUmm2hSaBAgarYvC0UKItwDQAAmFq323vdawtNQ7dBCXKWnLSFQvGEawAAwNTW67ZQCw0oU9W4BjJVnFAm4RoAADC1ui20Y84UZRqzzyBS/0+uBCiLcA0AAJhat9uoXOvkyrVZnhHsru6YvtAcNMuZoSzCNQAAYGrrjU2J2kIp0WBb6OA2baFQJuEaAAAwtW49b0q1DmUatIU2Zq7ZFwpFEq4BAABTy22hC51Ub0hUrUNJ8kKD5rbQTv8ZdlePNBRFuAYAAEytWwcLyUIDijSuLTQsNIAiCdcAAICprXd7rxc6jZlr3RmeEOyywT4DCw2gdMI1AABgarklbqGx0KCSKFCQcZWaFhpAmYRrAADA1NYb86YGgcIMTwh2WX64d9LGhQYuBSiLcA0AAJjaemOhQQ4X1lXrUJBBW+jgtkFbqGsBSiJcAwAApjYY5p7qDYkCBUpSbwtt3JbqFukZnBAwM8I1AABgarlyrdNcaCBQoCDj2kIH97kYoCTCNQAAYGrdMQsNDHGnJFVj7mAmaIYyCdcAAICp5SCtkwZzproSBQoy7uGe6plru3suwGwJ1wAAgKmNawsVKFCS/HBPjdK1eqGBtlAoinANAACYWre50EBbKAWqGtWbmYUGUCbhGgAAMLV65lpn0AqnK5SS1JVrjdvy2zbnQlmEawAAwNS69TD3FJ2OyjXKUzWugSxZaABFEq4BAABTW+/2Xve2hfbelq1RkqpujR7cZqEBlEm4BgAATK2q20IHM9fWJQoUpBpsNKhvq9tCLTSAogjXAACAqeVtoSk1Z64JFChH3RrduM3mXCiTcA0AAJharlJbaGwLrSqD3ClHfqR3hmau9e9zHUBRhGsAAMDU6nlTnRQLjXBBpkAp8mM9Dc1c6wfNMzgfYHaEawAAwNRyW2inUbkWoTWUclRj2kLz264DKItwDQAAmFoODzopInWat8/ohGCXbd0WuvvnA8zOroVrKaUfTylVKaXrGrellNLLUkq3pJTOpJTem1K6duTvHUgp/XJK6a6U0qmU0ttSSg8eOeaylNKbU0rH+i9vTildujufGQAAlKfb3bgtNELFDuWo56o1StfytSBkhrLsSriWUnpyRPwfEfEPI3f9WES8ICKeExFPjojbIuJPUkoXN465LiKeERHfHRFfHxFHIuLtKaWFxjFviYgnRMTT+i9PiIg3b/OnAQAA9K1XzbbQwe2yNUrR3ZitNd52IUBJdjxcSykdiYj/ERE/GBH3Nm5PEfH8iPiZqqreWlXVRyPi+yPicER8T/+YSyLiByLihVVVvbuqqr+LiO+LiMdGxLf0j3lU9AK1/1RV1Qerqvpg/2N9e0rpkTv9+QEAQIlysGDmGqXSFgpku1G59tqI+MOqqt49cvtDI+KqiHhXvqGqqnMR8b6I+Nr+TV8ZEUsjx9wSER9tHPM1EXGsqqoPNY75q4g41jhmg3676dH8EhEXb3YsAAAwrNkW2tyWKFyjFPVCgzHbQl0HUJbFnXznKaXvjognRa/lc9RV/de3j9x+e0R8aeOYlaqq7h1zzFWNY+4Y8/7vaBwzzo9HxH/Z4n4AAGATzYUGw5Vrszoj2F31yLWhcG34PqAMO1a5llK6OiL+W0R8X1VVZ7c4dPTHThpz24Z3P3LMuOPP935+NiIuabw8eItjAQCAhvV+itYZXWggXaMQVQzmDmb5bVcBlGUn20K/MiKujIjrU0prKaW1iHhKRDyv/3auWButLruycd9tEbGcUrrsPMc8YMzHvyI2VsXVqqo6V1XV8fwSEScm/LwAAKB4uTJnYWShgXY4SjHuoZ4vBdcBlGUnw7X3RG/xwBMaLx+O3nKDJ0TEZ6MXjH1r/gsppeXoBXAf6N90fUSsjhzzwIh4TOOYD0bEJSmlf9Y45p9HrxotHwMAAGyj5rbQpC2UAnXrmWsbFxooXYOy7NjMtaqqTkRv8UAtpXQqIu7ubwaNlNJ1EfGSlNKNEXFjRLwkIk5HxFv67+NYSulNEfHqlNLdEXFPRLwqIm6IiHf3j/lESukdEfHGlNIP9T/Ur0bE26uq+tROfX4AAFCyQVto788LnRTr3aoe8g77XX6oNys3OxYaQJF2dKHBBH4+Ig5FxOsi4rKI+FBEfFs/mMt+JCLWIuJ3+se+JyKeWVXVeuOY742I18Rgq+jbIuI5O3vqAABQrkGwkPqvI9ZD5RrlyA/1FGnT+4Ay7Gq4VlXVN478uYqIl/VfNvs7ZyPiuf2XzY65JyK+bzvOEQAAOL/cFrrQL9vptcZVKnYoRlW3hQ5uqxcauAygKDs5cw0AANinuiPBQm6NE65RinFtocl1AEUSrgEAAFOpqmpoW2iEih3KM3iopw1vuQygLMI1AABgKs25arkt1CB3SjNavRkR0enkkNl1ACURrgEAAFNZb6RrKeWZa70/W2hAKUaXekQ0KtdcB1AU4RoAADCVZnXaaOXaunSNQgy2hTZoj4YiCdcAAICpNMO1zshCA+1wlGL8ttDea+3RUBbhGgAAMJVmdVonjc5cm8kpwa4b3xbar1ybxQkBMyNcAwAApjJ2oUHHQgPKUuUIbUzlmssAyiJcAwAAptIdW7nWv0+qQCG63d7r5sy1pD0aiiRcAwAAprI+duaaQe6UJT/UtYUCwjUAAGAq3cYg97Rh5ppYgTKMW2iQVHBCkYRrAADAVHI73EKzYqcOFWZwQjBDKZrXgQpOKJFwDQAAmEquymm2w6lcozTdcZVr/deuAiiLcA0AAJjKer88rdN4NtExyJ3C5Id6M1zL14TrAMoiXAMAAKaSc4OFMZVr691ZnBHsvhyfDbWFhrZQKJFwDQAAmMr6mLZQg9wpzdi20FzBqTEUiiJcAwAApjJoCzVzjYL1H+rDIXP/OlDBCUURrgEAAFOp6sq1wW0LHe1wlKVuCx270MCFACURrgEAAFPJbaELnTEVO9I1ClG3hTZuG1RwzuCEgJkRrgEAAFPJLW+doYUG/fuEChRisC104+xBhWtQFuEaAAAwle6YhQZmrlGa3PrZbAvtWGgARRKuAQAAU8kLDRY6GyvXKuEahcgVnGnoVm2hUCLhGgAAMJV61lRzkLstiRSqM6YtVMgMZRGuAQAAU+mOWWgwmLkmVKAM1ZiQ2UIDKJNwDQAAmEoODsbPXJvFGcHuy4/11GgMtc8AyiRcAwAAppJnrnXGVuyIFSjDuIUGg22hrgMoiXANAACYyri20KQtlMLkh7q2UEC4BgAATCUvLdAWSsnGtYXmNyuNoVAU4RoAADCV9Sq3hQ5ChVzFZksi5ehfB41n1fmacBlAWYRrAADAVHLrZzNU0BZKaaotFhqo4ISyCNcAAICpdPvJwcK4ttDuTE4Jdl0OksctNFDBCWURrgEAAFOpZ00NhWv5PqECZciP9HFbc10GUBbhGgAAMJX17sZtoUIFSjN4rG9sC7XQAMoiXAMAAKaSW96abaGp3hYqVKAM49pC622hLgMoinANAACYyvqYUGHQFjqDE4JZ6D/WO+NmD0rXoCjCNQAAYCpbtYWuCxUoRH6kjylc0xQKhRGuAQAAU6nGVex08n1iBcowri20kwNnlwEURbgGAABMJVeudTpjZq7pC6UQ40Lm/Ja2UCiLcA0AAJhKt15oMLhtoZ41NYszgt03biNoUrgGRRKuAQAAU8nh2vAg9+H7YL/LQXKzLdTWXCiTcA0AAJjKerf3ujNmoYFMgWJs0RbqOoCyCNcAAICpDCrXBrep2KE0uS10XOWaywDKIlwDAACmUs9c64xrC53FGcHuywFaio3Xga25UBbhGgAAMJW8ETSljW2hKtcoxdgKzn7Q5iqAsgjXAACAqaz3k4OFZrjWf2ahYodS1I/0obbQ/n0uAyiKcA0AAJhKNaYtdDBzbSanBLtuXFtosjUXiiRcAwAAprLe3TjIPeds69I1CtCs0EzaQqF4wjUAAGAq67lybczMNW2hlKD5MO9oj4biCdcAAICp5NygM3ahwSzOCHZX82Geht7OIfOung4wY8I1AABgKrn1s9OxLZQydTdpC82XhKsAyiJcAwAAptKtFxoMbuvUg9xncEKwy5oZckoWGkDphGsAAMBUurlybWjWlJlrlKOK8ZVroS0UiiRcAwAAppIXGnRU7FCoocq1xu0d1wEUSbgGAABMpWuhAYXbbFto3SLqOoCiCNcAAICp5LbQ8TPXpArsf5u1hab6fqAkwjUAAGAq3TFtoflt2Rol6A61hdqaC6UTrgEAAFNZ7/Ze5yUGEYN2uHV9oRSgubhjqHItd4W6DKAowjUAAGAquSpnYahybfg+2M+aj/Kx4ZrGUCiKcA0AAJjKoC10cJuFBpSk6g7ebraFJtcBFEm4BgAATCW3fjbbQhc6eeaaVIH9r1mZ1hmz0EDhGpRFuAYAAEwlV+U0FxokbaEUpPkwT2MWe7gOoCzCNQAAYCrdfrq20BkXKszklGBXNcOzRuFaY+YaUBLhGgAAMJXBzDULDSjTpgsN8v2uAyiKcA0AAJjK+hYLDWQKlGCztlALDaBMwjUAAGAq49pCk1lTFCRXpjWr1sb9GSiDcA0AAJhKrspJY9tCZ3BCsMvyw7wzkqY1/6w1FMohXAMAAKaS20IXxrSFdqVrFCDnZqOFas0/uxSgHMI1AABgKrkip9Ox0IAydSdoC1W5BuUQrgEAAFNZ727cFmrmGiXJj/I0kq41/6xyDcohXAMAAKaSQ4OFoco1WxIpR73QYOT2ocq1cDFAKYRrAADAVLp15drgtoX+MwutcJSgnrk22hY65hhg/xOuAQAAU8kLDca3hc7klGBX5eBs622hu3lGwCwJ1wAAgKl0xwQLHTPXKEhu+dQWCkQI1wAAgCnlttCFsdtCZ3FGsLsGbaEq1wDhGgAAMKVcndbMFXKoYOYaJRh3DWx2DLD/CdcAAICprI+pXEt15ZpAgf0vP8q3bgsFSiFcAwAAppLzs4VxM9e6szgj2F0TtYW6FqAYwjUAAGAq63VL3MZwbV3lGgWo6o25w7c3/2ihAZRDuAYAAExlXFtoftPMNUpQt4VaaACEcA0AAJjSuKqdHDLYFkoJ6rbQkdubWZv5g1AO4RoAADCV3PrZaaRruYpNoEAJNtsW2qxkcyVAOYRrAADAVPLSguGFBv37JAoUYLOFBr3beq8FzVAO4RoAADCVbt0WunGhgZlrlCAvK9gYrTVucylAMYRrAADAVPJCg07j2YRqHUoyqFzbeF+uZnMlQDmEawAAwFS2qlzLLaOwn+VwrTMmXesImqE4wjUAAGAqea7aQmdMuCZQmDtvev9N8e/e8ME4dW5t1qcyN7ZuC80t0rt4QsBMCdcAAICpDCrXBrfltwUK8+e3/voL8dc33RMfufm+WZ/K3OhOsNDApQDlEK4BAABTqWeuNYKFHDKsS9fmzup6r5d3ZV1P76Ty4o7xM9d6r7tW50IxhGsAAMBUqrFtob3X2kLnz+p673u2tu57N6n8lRobro1tFgX2M+EaAAAwlXGVa52OOVPzaq2/hWJN5drE6sq1MUGaoBnKI1wDAACmsj52W2jvtUBh/uSKtVVtjBMbbAvdeF9ukXYpQDmEawAAwFRy1U6n8WzCttD5lWetqVyb3KAtdMxCg5FjgP1PuAYAAEwlt4UuDFWu9cM1+czcWTNzbWp5WcG46WpJFScUR7gGAABMJXcPdjobw7VKoDB38sy1VcnoxLZcaKAtFIojXAMAAKbSHbPQYFCtM4szoq2qqmwLbSEHZ+PaQgeZs68nlEK4BgAATCUvNBjbFqpcZ66sN9LQVTPXJjbYFrpRqq+FXTwhYKaEawAAwFRygNYs2snLDQQK82Wt8Q1b982bWP5KdbZaaODLCcUQrgEAAFPJo7kWzFybeyuNarU14drEBm2hG+9LqjihOMI1AABgKjk06Ay1hfZerwsU5kpzzpq20MltFZzly8KlAOUQrgEAAFPJAVqn8WyirtZR/TRX1pqVaxYaTGyitlALDaAYwjUAAGBiVVXVFTnjFhqo1pkvq82FBl2Va5OqxswdzFwLUB7hGgAAMLFmYVqzamfBnKm5pHKtnfyVGj9zrX+MLycUQ7gGAABMrLlRstNYaJADBV2h82W1Eaitmbk2sWrM3MGsrlzTFgrFEK4BAAATa1amNbK1OmhTuTZfmksMViWjE6u3hW5xjC8nlEO4BgAATKwZni10Nm4Lla3NlzWVa61UW/SFDtpCXQxQCuEaAAAwsc1mrnXMXJtLzSUGZq5Nrlu3hW68b3At7OYZAbMkXAMAACY2NHMtjZu5JlGYJ81ATVvo5OrCtTH3DS4LX08ohXANAACYWLVpW6hqnXk0vC1UW+ik6plrWy00cC1AMYRrAADAxIYr16Lx9uAPXQnb3GhWq61qC51YtUVbaL7JZQDlEK4BAAATW++HCikNV+00QwatofNjqHKtq3JtUoO20M3TNQsNoBzCNQAAYGI5L+iMtMM1gzYVO/Njdd1CgzaqLYauaZGG8gjXAACAieW20IWRcE3l2nxqtoKumrk2sfwYH7vQoP+6stAAiiFcAwAAJpZDhc7IM4nmcgPZ2vxotoKuKbWaWP5KjVZwRjS2hfpyQjGEawAAwMRyFjMaKgwtNJCuzY1m5ZptoZOrGrMHR2kLhfII1wAAgInlhQajbaFJW+hcWlu3LbSN/BAfF67Vxyhdg2II1wAAgIl1N6nY6VhoMJeG20JVrk0qB2fj2kLzbTJmKIdwDQAAmFg3LzTobN4WWkkV5sbKmm2hbWz1EM+XggpOKIdwDQAAmFiuStsYrm08hr2vucRgVeXaxLp1W+jmCw1cBlAO4RoAADCx9W5uCx2duZY2HMPe11xioHJtcrk6s7PFQgMVnFAO4RoAADCx7iYLDSIGQYNQYX6sWmjQSv5KjdtnkG9zGUA5hGsAAMDEuhNU7Chcmx8WGrRTVeMrOPs39o/ZzTMCZkm4BgAATCy3fHbGpGuDcE2qMC+araDaQieXH+LjQ+bea9cBlEO4BgAATKxbhwpjwrVOPkaoMC9WGjPXVtdVrk1q8Agfs9BgwzHAfidcAwAAJlbPXNuick22Nj+GKtf0806sW7eFbrzPdQDlEa4BAAAT63YnmbkmVZgXzTlr693KMooJbdUWmiz2gOII1wAAgImt1wsNxrTD1bOmdvOMuBCjG0JVr01msC10XFtoGjoG2P+EawAAwMRyodNWbaEq1+bH2sicNUsNJlNt0RaaLDSA4gjXAACAiQ1mTY0L13qvtcPNj9WRSrXVrqUGk6i2WOwxaAvdxRMCZkq4BgAATGy9Xmiw8b5B5dpunhEXQuVaO3WAPK5yTVsoFEe4BgAATKzacuZa77Z16drc2DBzbV3l2iS6m2dr0ek/y1bBCeXY0XAtpfTjKaW/SSmdSCndkVL6nymlR44ck1JKL0sp3ZJSOpNSem9K6dqRYw6klH45pXRXSulUSultKaUHjxxzWUrpzSmlY/2XN6eULt3Jzw8AAEqTs5dx4VrHrKm5szoSpo22iTJe/iqNDZlz5ZovJRRjpyvXnhIRr42Ir46Ib42IxYh4V0rposYxPxYRL4iI50TEkyPitoj4k5TSxY1jrouIZ0TEd0fE10fEkYh4e0ppoXHMWyLiCRHxtP7LEyLizdv9CQEAQMm6dVvo5gsNhArzY7QNVOXaZCZZaFBpDIViLO7kO6+q6mnNP6eU/reIuCMivjIi/jz16safHxE/U1XVW/vHfH9E3B4R3xMRb0gpXRIRPxAR/6Gqqnf3j/m+iLg5Ir4lIt6ZUnpU9AK1r66q6kP9Y34wIj6YUnpkVVWf2snPEwAAStHt5rbQjfepXJs/ayMLDEbbRNnauLbQ3B5tNwSUY7dnrl3Sf31P//VDI+KqiHhXPqCqqnMR8b6I+Nr+TV8ZEUsjx9wSER9tHPM1EXEsB2v9Y/4qIo41jgEAAC7Q+hYz1zodCw3mzYaZaxKhiXS3mj3Yf+0ygHLsaOVaU79K7Rcj4v1VVX20f/NV/de3jxx+e0R8aeOYlaqq7h1zzFWNY+4Y82HvaBwzej4HIuJA46aLxx0HAAAM5OBs/My1HK6JFebFaJhmW+hk6oe4Ck4gdrdy7Vci4nER8e/H3Df6UyeNuW3U6DHjjt/q/fx49Crb8ssXz/PxAACgeLktdPzMtd5rWxLnx+ra8PdqdMEB4w2ytc235ipdg3LsSriWUvrliPiOiPimqqqaIdZt/dej1WVXxqCa7baIWE4pXXaeYx4w5kNfERur4rKfjV6ban558CbHAQAAfXU73BYLDbSFzo/V0co137yJDNpCN95Xh8zSNSjGjoZrqedXIuI7I+J/qarqppFDbopeMPatjb+zHL0tox/o33R9RKyOHPPAiHhM45gPRsQlKaV/1jjmn0cvNMvHDKmq6lxVVcfzS0ScaP2JAgBAIda3WGiQC3a6Apq5MdoGqnJtMrk4c9y20Nwr6jKAcuz0zLXXRm/r57+JiBMppVyhdqyqqjNVVVUppesi4iUppRsj4saIeElEnI6It0REVFV1LKX0poh4dUrp7ugtQ3hVRNwQEe/uH/OJlNI7IuKNKaUf6n+MX42It9sUCgAA2yeHCgtbzlzbzTPiQqytm7l2Ica3hfZe646Gcux0uPbD/dfvHbn9f4uI3+i//fMRcSgiXhcRl0XEhyLi26qqalaS/UhErEXE7/SPfU9EPLOqqvXGMd8bEa+JwVbRt0XEc7bjkwAAAHryttBkocG+sNpPQpcWUqyuV7aFTihXZ3bG9IJZaADl2dFwraqqsUWyI8dUEfGy/stmx5yNiOf2XzY75p6I+L6pTxIAAJjYer3QYON9Sagwd3Ll2sGlhVhdX4tVlWsTGXyVxlSu9W/zlYRy7Oa2UAAAYM5V9SB3baH7QQ7TDi0tRIS20EltNXOtvk3IDMUQrgEAABOrFxqM2xbaf3ahcm1+5AUGh5f74Zq20IlsvS1UyAylEa4BAAAT626x0CDfVgnX5sZa/xt6sF+5pi10MvmrNG6hQdQLDXwtoRTCNQAAYGJbVezkJQeKn+ZDVVV1JeKhXLm27ps3kXqxx8a7cuWaaA3KIVwDAAAmtmVbqIUGc6VZpZZnrq3qZZxI/jKN2+CXRo4B9j/hGgAAMLEcGFhoMP+a89UGCw1Urk2iily5NmZbqLZQKI5wDQAAmFiuShs3c61j5tpcaVauHVy2LXQaW20LHVwHu3hCwEwJ1wAAgIl1t2gLTXVb6G6eEW2trm+sXFs1MG8ig7bQMddB/3Vl6hoUQ7gGAABMbH2LhQaDtlChwjzIVWoLnRRLC52h29haDs7GXQeDbaG7dz7AbAnXAACAieWKnYVxCw06+RipwjzIlWuLnRRLC73vp5lrE5qgLVQFJ5RDuAYAAEysbgvdcqGBVGEerPW/l0sLnVjsJ6O2hU4mP8bHLjTov9YWCuUQrgEAABMbtIWOm7nWD9cUP82FXKW2uKBybVoWGgBNwjUAAGBi3S1nrg0fw96Wt4UuLXRiMYdrKtcmkr9KYxca1DPXfC2hFMI1AABgYrktdNzMtQUVO3Mlz1xb6qS6LdRCg8kM2kI33pcsNIDiCNcAAICJ5cKmzphwLZm5NlfWurkttDNoC9XTO5H8EB9XwZksNIDiCNcAAICJrXcnaQvdxROitdwWuriQYnGhM3QbkxnbFtp/baEBlEO4BgAATCxXpS3YFjr3cgvoUqcTix0LDaahLRRoEq4BAAATG4QKY8K1/rMLg9znw2p3sC00h2uryg4nMtgWunnI7DqAcgjXAACAieXCpnELDcyami9rdVtop24LVbk2mdzyOaZwrdEWCpRCuAYAAEwsV+OMC9dyxc66dG0u5G2hywtpsNDAzLWJdOvKtY33JVtzoTjCNQAAYGI5OBsXKgwWGkgV5kEO1xY7nVjs9/RqC53MYFvouArO3mvXAZRDuAYAAEwsZy9bLTSQKcyHtaFtoRYaTGerttDUOAIogXANAACYWK7GUbEz/9b6Cw2WFjqxVM9c872bRLVFW6gKTiiPcA0AAJhYbgvtjJm5tmChwVxZzZVrnea2UJVrk9hqa26y0QCKI1wDAAAmNqhc23hfpw7XpArzILeAqlyb3taVa9pCoTTCNQAAYGLdrbaF9p9dVMK1ubDWLzFcasxcWzVzbSL5EZ7GTV3LbaFKOKEYwjUAAGBiuWtw/Mw1baHzZCVvC10YbAtd882byFYVnBYaQHmEawAAwMTWt1hoYJD7fMktoEsLKZZsC52OhQZAg3ANAACYWFW3hW68r6Nyba7kIG2x04nF/jd01cy1iWzVFpoDN9kalGNx1icAAADMj7wtdNyWxDpck67NhdX+92lxYbAtdM220IkMtoVuvG/sHDaKUlVV/MBvfjgiIt70/V819ucl+4twDQAAmFgubFoYO3Ot91o73HywLbS9wbZQ7dFsdPzMWvzpJ+/ovX12LS45tDTjM2KnaQsFAAAmlttCO9pC515uAV3s2BY6rUFb6Bj960C2Vq4T51brt8+trs/wTNgtwjUAAGBiuS10q4UGlVRhLqw2K9dsC53KVttC6+vAvtBinTo3CNTOCNeKIFwDAAAm1q0XGmwxc024Nhea20IX622hvncT2aItNM9ck1OW6+S5tfrts6uqQUsgXAMAACaW592PrVzrCBXmyWr/m7m40Bm0hVpoMJFclTZ2oYFtocU71QjXVK6VQbgGAABMbL06f1uoyrX5sNaYuZbbQqtq0PrL5nIGudVCA+3R5RoK11aEayUQrgEAABPbetaUQe7zZK07mLmWK9ciLDWYRF25Nua+5Doo3omhtlDhWgmEawAAwMS63c1nriUz1+ZKvS10IcXSwuCpoaUG51fVM9e2OMZCg2KdEq4VR7gGAABMLOcunbELDfIxQoV5sNbYFrrY+H6uqVw7r3wdpDG1a4PFHrt5RuwlZq6VR7gGAFCQ9W7liTMXZGWtH8h0Nj6VECrMl9XGttBmJeKqjaET2Lw92kIDTp4bBGrCtTII1wAAClFVVXzn6z8QT/tvf2FgOa2d7FdkXHRgYcN9deWax9dcyLPVFjudSCnFUn/ump8P57dVW2i90EBbaLGG20L9QqsEi7M+AQAAdse5tW78/c33RUTEfadX4vIjB2Z7Qsyl0yu9J41HDmx8KmHm2nzJs9VyqLbY6cTq+rqFBhPIj/FxbaH5NpdBuU6auVYclWsAAIVoPmHW9kVbp/rtTheNCde0hc6XtUblWkTUG0MtNDi//BUaV7k2aAv1dSxVM1w7syJcK4FwDQCgEHlWVkSoTKGVlbVurPQfOxctjwvXeq9Vrs2H5rbQiKiXGpjLeH6DttCttubu5hmxl9gWWh7hGgBAIVbWhWtcmNwSGhFxeMzMtTwUX7Y2H9a6vZ8Dywu5cq33WmXr+Q3aQjfKt/kqlsu20PII1wAACjFcubZ7T/u0Ru0fudVpebETSwsbn0qYuTZfBpVrve/lUq5c6wrfJzVmaa62UOKEcK04wjUAgEKszqBy7bp3/2P88//6nrjlvjO78vHYWaf7s4PGLTOIaLaF7tYZcSHqbaG5LVTl2sTqttAxtWt59qBsrVzaQssjXAMAKMS5Gcxce/cnbo87Tpyrt5Qy33Ll2kVjWkIjmgsNpArzYK0foi2NLjTQNn5edVvoVgsNNIYWKy9+iYg4u+p6KoFwDQCgELNoC82VTmfX/OZ+P8jVGOOWGUQMKte0w82H3P6ZQ7UcstkWen6TLDRwGZSpqqo4tWJbaGmEawAAhWgGartVuZafVJxZ8Zv7/SBXY1y0SVtoPXPNt3su5J8JS3VbaOrf7ht4PrkqbauFBio4y3R6ZX0oWDVzrQzCNQCAQjQr11Z26clzrnTy5GLvqKoq1ltWJtWVa5vOXOvFCutChbmQ2z8XO8PbQtfMXDuvbl25tvG+wUKD3Tsf9o6TjXlrEWaulUK4BgBQiJX1wX/g79aT5xyqeXKxd/zg/+/D8ZRf+LNW35Pc6nTR8mYz13qvtYXOh7pybdG20Kn1H+KdMenaYPbgbp4Qe4VwrUzCNQCAQqzs8kKD1fVu/eTdk4u9489vvCu+eO+Z+OK9p6f+u+drCxUqzJfVfoiWQ7VBW6hv4PlM0hYaFhoU6dRIuKZyuwzCNQCAQqzs8sy1040hzgY67w3n1tbrkLVNgDJYaDC+ci0X8Zg1tfetd6u6bTG3gy7ltlCVa+dVbdEW2rHQoGi5cm2hH1r7968MwjUAgEIMzVxb241wbfDbe9tC94YTZwffkzZz1+q2UJVrc68ZsOeKtcWOyrVJ5QB53LbQEDIXLVf4Xn7RckREnN2Ff2+ZPeEaAEAhmoHa2i6kH8OVa55c7AXNcK1N9eL5FhrkSg0z1/a+5s+ApRkvNLjprlPxkt+7Ib5w9/StyrOSv0JbtYW6Csp08txqRERcfuRARPT+7W27RIb5IVwDAChEM0zZjbbQZiuMmWt7w8lGuNYmYK1nrmkLnXtrYyrXlhZms9DgLR/6fLzlQ1+I3/7wF3b1416IQVuohQYMO9n/OXnFxQfq2/wbuP8J1wAACrH7baHCtb3mxNnV+u1WlWuTtoUqVNzzmq2fuR10sV/Bttttofed7j0um+HvXperMzvjukJtzS1arvC9f78tNMK/gSUQrgEAFGJlqHJt55/0nWrMXLMtbW843qxcu4CFBkfOO3NNqLDX5XB1aSHV1Ve5gm1tFypbm3IQf3qOBr/XbaFbhGuUqf45eXAxDiz2Ihf/Bu5/wjUAgEIMzVzb5bZQTyz2hrzFLqJd619udzq8abjWey1bm86pc2u7XtmSw9VcrRYxmL22GzMZm/Lj8vQc/Zyo20LHTF0TMpctz7a86MBiHOq30Ktc2/+EawAAhVjZ5Zlrw22h+gT3guG20Omf+OcNsEcObDZzrRcqrAsVJnZ2dT2+8VXvjX/zK3+5qx93tR+u5mq15tu78fOhKT+uzs5R5dpgW+jmx7gMytSs8D201PtZaanP/idcAwAoxNDMtV1oCz3TaAv1W/u94cQ2tYUeXt66ck3FzuRuO3Y27jxxLj51+4k4t7Z710n+/i8tNCrXZrQtNC/KmKu20AkWGlzIZfCG930mfvaPPmFu2xw6tTII1w72w7Wzu3htMxvCNQCAQjTDtd2oTDnVbAudoyfN+9mFtoXmEOT8M9danFyhjp0ZVBPu5kD//DNgsTGRP7+9ussbKXIYMU/t4/XMtTH3XejW3NX1brzyHZ+MN/z5Z+OL955p9T6Yndw+f1EjXPNv4P4nXAMAKEQzUNuNmWtDbaF+a78nNNtCp61OWu9Wdfix6bbQ/rOL/Vxts7rejf/y+x+NP/n47dvy/prh2oldDNfyXLVm5drijCvX5imAGGwL3Riv5Tlsbb+K95xaqQPqW4+dbfle9r79+nNi0Ba6EIeWLDQohXANAKAQs2wLnacnzfvZ0LbQKauTmttfDy9vPXNtP7eF/tVn747f/ODn49Xv+tS2vL+hyrVzu1+5ttSYubY0o22hOYyYpwBi0Ba68b7BYo9218FdJ8/Vb996bH9Wrv3lp++KJ//Me+KdH7tt1qey7U5aaFAk4RoAQCHOzXChwbm1bnT1Cs5cs+1w2oUGp/vVRYudFAcWxz+NWMjh2j6e3X3H8V7wce/plW15f81w7XijsnCn1W2hzcq1funh6i5eq82KyLmaudavS9uqLbRtxnzXycFj6/bj+7Ny7c//8c646+S5ePc2VYDuJScbCw0OLgrXSiFcAwAoxOouz1wbfaJ8bm0fJy5zYrgtdLrvR37CeNGBxbFD3COaM9f2b5B696leuLZdLZwzawvth6tDM9dmULl2eqjCdfc+/wvV3WKhQVxgW+hdJ5qVa/szXMtVtHef2p6Qei8ZWmiwbOZaKYRrAACFWBmaubbz4cfpkSfK89TytV8NbQudsjopt+5dtElLaESzHW76c5sXOQw4vbK+LSHU8RktNMhtwcPbQnO4tnvfwGYIf2Z1fW7mcOXz3KottG3I3GwLvW2fhms56G9+rvtBVVWDn5UHFuNQXmiw6pdL+51wDQCgEMMz13a/ck24NnvNmV7TtoXmaozNlhlElDFz7e5Gy952VJoNV67tZltov3JtobktdPfbQk81HpPdan4qXLfeFtqvXGv5ZWxWc+3XyrV87TSr9PaDc2vd+trqbQvtXVPaQvc/4RoAQCFWZtwW6snF7A1Vrk35GMgbHQ9vEa5daMXOPLi7UWmz3eHabi40yNVpS52NlWvruzg0Lz+usnn5OZEf4p3OxnitruBs+b6bgdN+rVzLj/W7Tq7MTbXiJJph8ZFG5dq8PK5pT7gGAFCI1RkuNIgwc2bW1rvVcOXalNVJp+s5Qlu0hXYurGJnHjSrirZjAcGsZq7V20IXB+HQQq5c28W20FMj7ePzstSgbgsdc1+6wG2hdzYC3DtOnN317a27IVdprqx3h7YYz7scFh9aWoiFTmq0hc7H45r2hGsAAIU4N1S5tvNPnkeHk/vN/WyNhhjTVifVCw2Wz1+5tr6P07UdbQvdocq1n/3jT8QzXveXQ9dgvS20Ubk2i4UGp87N52zGui10TLqW4sJC5ua20G41HLbtF81rZz/NXWsufomIeqGBf//2P+EaAEAhVmZUuZaffJ410HmmRoOgaYfWnzpn5lpVVfW20Ij5qVz77b+5Of7uC/fFx289Xt+WF1osNWau1QsNdnPm2pxWuA4e4xvTtXSB7dF3j4RN+3HuWnN5RzOwnnenRip8Dy5aaFAK4RoAQCFm1RZ66aGliJifipT9anRY/tQLDfrtThdt1Raaw7V9+jzy9Mr6UEi87TPXdmChQVVV9UbSZpXY2rjKtbotVOXa+dQz18ZVrl3AQoNut6pbj7/k0kMRsf/mrnW7VZxc2aeVa2eHfwlxqF+5Ni+hMe0J1wAACjG00GBtZytTqqqqZ3Td76LliJifJ8371cnRyrUpE7BTU7SF7qcB5U2jFTYXut1zvVsNBXQ7Ubl28txa5EK05mNg3LbQunJtN2eunZvXmWu912lMX2i+pc1X8b4zq7He/4Zd+6CjEbH/wrWTK2tDweO+CtfO5cq1frhmoUExhGsAAIUYCtd2uLTo3Fq3fkJ/+UUHIsKTi1kbDW6mrlxbOX9baF25tj+ztaGW0IiI42cuLAwbDed2YlvoZjPdcri6tDCmcm0320LPjbaFzsdw+60WGnTqyrXpv445aLrk0FI85H6HIyLituP7LFwb+VnU3I46706NhGsHl3rXlH//9j/hGgBAIZphyk63fTVbYHLlmicXszU6H2zaofWDttBJwrX9ma5td+VaM/jqvb+dDdfGVa41Z67NYqHB6ZU5bQvtv+6Mq1yrKzinf785aLr/keW46pKDEbH/Zq6NPs7v3Ecz1zYsNLAttBjCNQCAQuxmW2iuclpe7MThA2bO7AWjVVHTDq0ftIVuMXOt/+yilMq1Cw3DRsO17ViQMKpZXdd8DNTbQhuVa7mKbVfbQlfmvS104311uNaiMfSu/ry1+x85EA+8JM9cO9PqHPeq0VB6P7WFjv4S4pBwrRjCNQCAAlRVNdG20J9/xyfjh9784XrmT1s5SDu8vNCYObNPp9zPiY1toVNWrk3RFrpfZ67dNVq5dm57Ktcu71d3njy3tu1fu6HKtaGFBv3KtcZE/sX+2zvdNt60sS10PkKIraozU7Rvjx5Urh0opnJtP4VrJ/s/Ey4+OLzQ4Jx///Y94RoAQAFWRoKUzYKV3/jA5+KdH7s9Pn3HyQv6eLn65KLlRb+53yNytUgOUKatTsohyJEtw7Xe6/3eFvqAo705ghc6cy0HX19yWa9CqaoiTm1zuHS8OXOt2Rba3Vi5tjiLyrV+4JerveYlXJusLbT9zLVmW+jtx89Gdx+Vg+bZfwcWe4+30XbreXby3ODfvghtoSURrgEAFGB0eP1mw+zzXLS7L7CSIIdrh5YX6icXZq7NVp63denhXpVU27bQw1u0haZ9vtDgnn5b6DWXXxQR2zdz7QFHD8ZCP5kcHfZ+oc5XuTZ+W+guVq71KyIvOzxfW4W3agsdVHBO/34H4dqBuPLiA5FS7+f13af2TwCVr5uH3r93He2nyrW6fb4/DqH+5dKchMa0J1wDAChAc95axPjKtbX1wYbPuy7wiVweUn54eaFuixGuzVauWrrfRUsRMdgWOamptoXu03QtBxw5FNiumWuXHFqq28guNLAb1Zzj1nzfOUBb6uyNbaH3P9IL1+Zl5lquXdt65tr0chXX/S8+EEsLnbjiSK9K8rZ91Bqar5scUp9eWd+w2GJebdwWOqhc26/t8vQI1wAACjAarq11qw3/od9sHb1nuyrXlha0xewRx0cr11q2hW4drvVe79e20Dxz7Zp+uHahCwjGhmvndrBybagtdPcq11bXu/HxW46PDRdyGHH/fog0LxU+OX8c1xba2Za20N7X44H13LX9s9QgPw6vuuRg3Rp614n9UZmXr98jB3O4Nohczq2Zu7afCdcAAAowrlJttDW0OXD5QluQ8hPkiw4s1k8u5uVJ836VB23frx+uTbPQoKqqRuXaFttC93lbaG6XvubywxExCCzbOt4I144c6FUUXmg13KjN2kJX+0/0l3Zh5tpr3nNj/KvX/EW87e9v2XBfDuLrcG1OQvgcnI0pXKtvbbXQoB/gXt6v5Mtz1247vp8q1wZD//P3/c590ho6aAsdrlyLUL293wnXAAAKkH9jnqsEIjaGK83KtdGtiNPKLT6HmttC/dZ+W/z1TffE333h3qn/Xg5tLrto+plrvZam3ttbLTRI+7hyraqquKduCz0SEb2K0HNr7Z8wj6tc28mZa83gLn//lxZ2flvop247ERERN96+cVHKyZHKtXlpC82P8K3bQqe7DqqqqkOmK+rKtd6yi/3YFnrxwcW4/8W9z3O/zF0bbQtdWujU19i8BMe0I1wDAChAbgtttvRtCNca4deFLjTIGw8PLzXCtTl50ryXnTq3Ft/3pg/Ff3zTX0/duleHa4f7M9em+PsnGxsdDy2dv3JtH2ZrcfzMWh1IfWm/ci3iwirNhsK1Azs0c22zyrX+93+xMXNtaYcq1+49vTL0uikH8Vf0Q5Z5qe7JcwXT2LbQPHtwuvd58txa/XM4h4115dp+CtfqAGopruhX6O2XjaGj20IjorHUxy+Y9jPhGgBAAXJV2qGlhbqqYmUkXGlW4GxXW+jhZTPXttOdJ87Fylo3Tpxbi3vGBBVbyaHNZXVb6OQByunGE8ZxYUKWN17ux8q1u/qbQi8+sBgHlxbqypRmeDWtsZVrOzlz7dxa3c6YA7ShyrU8c23MTMYLkSv+7hv5Wq2sdevH4WChwXwMtq8r18bct/kVsrVcMXxRYxHMYObaPgrXxrSF7tfKtYjGUgO/YNrXhGsAAAXIVSrLi51Nq1PObWPlWm7tOtwPIiLmpyJlL2tW/twzRQBaVVUd2gzaQqevXNtq3lrE/m4LvXtkFtbRervnhVeuHT20VA9Av9A5bhs/xuD9rXerunomf/8XGzPXmptDp2kbPp86XBsJhE81gsTBzLU5qe7pf3nGhc2p5UKDHDBd3v9aREQ84Oh+nLnWaAvdR+Ha2nq3/iVSvp4jBtW+fsG0vwnXAAAKkFuNlhc6sZTnKm3ZFnqBlWurvSdPh5cGFRieWFy4ZuXPPVN8j841KoQGbaGTP/Gvh3Qvbz5vLWJ/LzS459Rw8HHxwQtfQHDsdLNyLb+/bW4LHXl/J/qLLfLjIc9ZixjeHLpdraHr3ap+3N53evhc8pKMA4udunLvzJxUruUAuTOmTK3tdXDXibwpdLm+rbktdDurCWdpOFzrfa77IVw71ahMa/4i4pBfMBVBuAYAsEtW17vx6nd9Kv7qs3fv+sfOwdnSYoql/lKDrcK1E+fWLmhQ+6l+G+Gh5YV6W6gnFheuWfkzTetuDlhS6gU5EdNVJp1ubH/dSqdRxbNfgoCs3uLYr/y7+OCFzUjrdqt69lRvW+j2LzQ4u7peX9e5ZTe//2Y1a9YM17ZrqcGxM6v1DL4N4dq55lbhXgAxdwsNtmgCnXahwV39a/r+YyrXzq52h1p851muhL344NJgocGJ+Z+5ln8JsbSQ4sDiIFzzb2AZhGsAALvkb266J375Tz8dP/fHn9z1j53nqy0vDNpCV9Y2bwuNmK7tcFQzjDlkmPO2ufdUo3Jtiu9PDlSOLC/WYUqbhQaHl7duC21W8ey36rUNbaH9kHK0MmxSJ86u1aHTJYeWtqXNdFQOYxY6qd4+mb+Xa3Xl2iZtodtUudZ8nG5oC10ZtBsfnrMK16puC914X9vFHnXl2sWDcO3g0kLcrx/o7oe5a1VVDc1cu/yi/dMWWlf4jvwSwtzRMgjXAAB2SX5S2/bJ+IWo20IXO7GcZ651N69ci7iw1tC6LXR5YWjezH6rZtptbSvXmm1YOUxZnSL9Gjeke5zm/Kn9Nnft7twWelFuC72wMCwHX4eWFmJ5sVPPaNrOhQb1TLeDi3H00HBl3Go9c23wPet0Uh2QTruNdjPNOYGnVtaHfs40243r9vE5qVzLj+9x4dpg9uB07zMHTPe/aHno9quO7p+Noc0W9SMHFuOKi/dPW+jJTX5Ozttjm3aEawAAuyQ/oTi7g/+B/f9++Ob4w3+4dcPtdVvoQqd+Mr2hLXTkzxfyZKduC11aiAP9cG29W021oZKNhmaunZr8+zMI15bq7ZDThCenJm4LHby9vs9K13KYmSvXLr7ABQTNTaERERcf2P6Za8ebCxP637sTI5VrzW2hEYMFB9OEr1sZDembAXH+OXF4eSEOL/XOb61bbfjZtBfVbaFbLDSIadtCT26sXIvYXxtD88+ilHqham6BPX72wkYR7AWbhmu5entt7z+uaU+4BgCwS/ITxp1qDTl2ZjV+7Hf/IX7kdz6yIdjIH/vA4lZtocPndUGVa3lb6PKgLTQi4uycP3matXtPt2wL7Q+xP3JwsQ5PWi00OM+20OGZaxO/+7lw98nxCw2Ot5yDNRqu5cq1EztQuXbJoaU40j/f0ZlrzbbQiKgXnuxE5VrEcEDcbKM71Gg5nou5a7ktdMxdbRca5J+5zZlrERFXXZIr185M9w73oBweHzmwGJ1OiksODQL/C12kM2vnawvdyV+sMXvCNQCAXbKyw+Ha8f7g8JW17obBySuN4eU5XNtqoUHEoA2ujdO5LfTAQiwtpHqYuicXF2aoLXSKJ6LHh9pC+5WLUwysr2djTbgtNGIftoWOLDQ4eoHbQjdUru3gzLVLDi3FxQeG207zQovFzSrXdmDmWkTEvY0/n248roZ+TszBbKrBttAxlWv919O2wdeVa0fGV67ddnz/VK7l6yeltG/mrp08N77C18y1MgjXAAB2SQ6zzq52o7sDLXPN/3Af/Y/4eubaQieWc1vgTs5cWxm0e6WU4mB/iL4nFxemuW2x3cy1pTpMaVe5dr6Za4O39124tklbaNs2zmONls2IQdiwndtCj41pCx0sNBi0ijctbfLzoa17T21RudZoN04pxeE52hg6aAvdeF++bdor4K6RpRnZVZccioj90RY6rnXy/vtk7tpgNuVwhe9gqc/ef1zTnnANAGCXrDbCq9HNnNuhOSx5dHDyuaGZa5NtC73rAsK1epZSf45SbvmyMfTCNFvsWm0LPTBYaLDWrSaurDlVV2RM3ha6n0aurXer+mu/3QsN6rbQfthwZnV922aOHT8zqBI6Us+I633c1Xrm2vBTwvrxsV2Va6NtoUMz14bbjQ8u53Bt+wLGnZKvnXFtoXkO2zS/RDm7ul4HTxvaQvfRQoPmptAsf753nZjvttDNZq4dXPLLpRII1wAAdkmzzWonfoPdrPYYff+rQ22h4xca5HAtD6Vv2xba7Vb1k4gcqmmL2R7NyrV7T69MvDQgP6E9enBxaID92oR/f9LKtYVOc+ba/knX7j29Us+Qu+xwv9KsH4q13f672cy1iMHX+0INzVw7MLIttJ65NhwP5e/hpI+N88mVa/nDNB/Dp0ba6A4vz0+FT/7yjF1o0H89zVcwV20tL3Ti6MHh62wwc23+w7Vmi3pWh2sXMIpgLzi5yc9JlWtlEK4BAOyS5jbOnQiZzk7SFjrBzLVcJTFNZdTQeTSWFtQVKTlcm4N2r71qdb1bP3mL6C0MuO/0ZN+jE82Za41KpUnDuclnrg3e3k+Va7lF+rLDS/XX7+g2V64tLXTqCpftmrs2NHPt4PiZa5u2hW5T9Vz+OfLgyw5HxPBSjjq07Ydqh+aoLTQb1xbaadEXele9zGB5Q2CXw7UT59a2dZvsLOTHdl6wETFog533yrVTm20LXfbvXwmEawAAu2R1h8O15hPS0SenwzPXxrd95fDvgZf25vu0nbnW/NgHF4efNNsW2l6u+ElpUPUxaQDabFdqVipN2n642aDuUWmfLjQY3RQaMdgW2jbsOF4HX4Ovab2BdJsClMHMtcXNK9d2eqFBPwB+2BUXRcRIW+jKcKXPvIQQzarM8W2hvdfTXAN3negvM7j4wIb7jhxYrKv62v7SY684OaZy7Yoj+2WhwXm2hRqLsK8J1wAAdslQuLYDTx63WmjQbAvNT6ZXRttC+//hnzfT3XXyXKvWvtP9IObQ0kJ0+kFOHa7t8SfNe1kOJY4eXKqfjE661OB4PedoaahSadK5WqdHZmNtpdMiWNjr6mUGFw0GzV9czzBba3Wd1FVlhwcVPBePBGAXKn/fLzk0mLl2ol5o0K9c64zOXNvuhQa9c3jY/Y9ExGhb6HBF5KE5aR9vVmWO3xbau61NW2jzMdZ0YDHPypzvgGbLmWtzHq5tVrlmLEIZhGsAALtkp2eunWkMAR8NsXKQtrywRVvoeu/v5HDt3Fq33uY3jdOrvfPIlRYREQcMdL5gecviZYeX4n79J+CTVrE020IXOqmurFmdMEAZDUG2ksOGfZStNSrXBsFH3u653pgxOI3RttCIC1+SMOr4FjPXcng2Wrm2tEllaxvn1gZD+nPl2r1DlWv9xSf90PbwPFaubbEtdJqAOQe4o8sMsvx9Gf2lyLypfxYd2H/h2mYLDeYlNObCCNcAAHZJs+JgJ/4je6vKtXpb6OKgLXSzmWuXHl6unwzc3eLJzumRJ8wRzYHOe/uJ4WfuPBlP/aU/j9//yD/N+lQ2yIPhLz28XIdrk1au1U/6+uHN0pQbIXMIcr620IhBuDbpPLftsF3zwTYzqFwbBB+Hlxfq4f9twrBx4dqRkbloF2p45tpS/b6rqtp8W+gmC0/ayFVqC50UD7nf4aFziti4KONQP7zd6zPXmo/sNKYxdHlx0Fo76XKKO7doC41ohGtzXrmWH9sXN2au3f/i/sy1C9hQvRds1j5/aLn3vTsnXNvXhGsAALtkp9tCm09IN11oMFS5Nhx+5ADuwGJnMGC6xZOd/LkdXho8wahnKe3xJxfv/vjt8anbT8Rb/3bvhWs5qLj08FL9/blnwu/PYFto7wltvRFygnCtqqpN253GaVO1cyHe84nb49H/5Z3x/3745h37GPk6aFaupZTqr0ebuWtjK9cOXNgct80+xtGDwwsNmptAl0Yr13Lwug3haK6sbFZbNivX8s+sQVvofFS4Dj22x1SuXXnxgfjSyw/HereKd3/i9oneZ67a2qxy7cDi9s7Cm5XjW7SF3nt6ZceD8p10apP2+Tx7dK8/rrkwwjUAgF2y0wsNhirXVs4/c22zyrXlxU49uL1N5Vp+gnGo0Raan1zsRDvsdrr12NmI2JtDw+87k4OK5UZb6GTfnxMjQ8Trx8AEbaHn1rp10HJ4oplru9sW+r5/vDNW1rrxZ5+6Y8c+Rv46Xz4SfBztLyM4dma6SrNut6pDhqNjKtdObEPl2up6tw6vRttCm6Hq4g5Wrg3CteW4tD9bbuzMtbottHeOe78tdPB2Z2xbaIpvf9wDIyLi7f9w60TvcxCujZ+5tlk7/7ypt4U2gvrLDi9HJ/W+rvdMuAF5L9p05tqc/HKJCyNcAwDYJTs9c605Z230yWkzONt05lqjcu3+U7YdNuUnEM2Zazlo2+vh2m17OFy7t1G5dr+LJl9osN6t6pAlP+mbZq5WsyJysplrvde7Vbl28z2nIyLi83ef3rGPkTfnjg6bb1tpduLsWh3Q7NTMteON9sujjYUGK+vdektnRAxtj40YhG3bMXOtDtcuWo5LD/e+dufWuvXPp9FZfnnw+15vC21K44auRcS3P+5BERHxvk/dOdH21/wY26xybXnGCw1+7+++GN/6i++Lm+46dUHvZ1xb6EIn1b8wuOvE3vvZO6mTY4LDiMbMtZX5DkbZmnANAGCXrMyyLbSx0GB5k/ailfVm5dp0A/PHncfhRhBTb0vb40+abz3eC9fuPtVuU+pOyttCLzu8XIc8d0/QFtrcPJmf0OZAZZIqmByAHFzq1O2kW8mVa7s1cu0L/XDtC3ef3rHv2bhtoRHtw7DcrnlwqRMHFgch9HZuC80f4+IDvSUWzWD0vkZ10OjMtaVt3BaaW0Dvd3g5LlpeqFtQ7z29Et1uFadXh2dUHZ6TCp9mcLzZFfEVV10cX3bFRbGy3o0/+dj5W0PP1xa6tMmW593ymx/4fNx4x8n4vb/94gW9n3HbQiPmf6lBVVV1aL1ZuGbm2v4mXAMA2CWrQwsNtv8J0lYLDVbXek8Ge5Vr44OVc6s5gFuo29/aPNEZhGuNttA5maV027EzEdFbvLDXqmfuG6pcmzz8zFUzBxYHwWoOVCZZOrDZBrzNdDo5XNv5dK2qqvjivb3v2Ylza0Mth9vprpObtYX2wspJKpOaxs1bixiEn9sxc62et3ZoMGfvov41masgU4oNgemgLXT7Ktfud2Q5Ukp19dp9p1fjzOp6Xb2X20IHFT7bs9Bhpwy3hY6P13qtob3qtbf/wy1bvr/V9W79PTlfW+gsKtfWu1V88rbjERFxwz8du6D3Ndqins17uHZmdb3+hcLoQoODtoUWQbgGALBLdnzmWiMMGm2/PNeoXFvsjG8LzcccWOxMVRk16nQ/jBlqC52DbaGr692448Tgid1eaw3NVUDTbgsdtGENnvDlAGWS6qTTK8MbHc8nZzW7Ufl354lz9SKOiEEV23Y6t7ZeBwKjwceFVq5tDNe2b1vo8f45jZvplh/bo1VrEc220G2oXDs1qFyLiLj0UJ67tlJX+aQ0+PkwL4tPhraFblHM+fTH9+au/cWNdw1VC47Km0KXFlJcdnh8uDaoON79n6GfvfNk/bP7hn861vraXmvMAWy2hUYMrq15DddyO+vyYmfo376IweN7rVvN/cw8NidcAwDYJTs9c22rhQa52mGpUb2Uq9lGj2m2hd494cD8ptzqdWjOZq7dceLcUEVKm3lzOylXZV12eGlou173PNVng0qRwZPZQVvoJJVrG9t8t7KbbaGjYdrndyBcu/dU7+u+0En1ttXsaMtKs83CtRx+Hd/GttBLDg2+b7n6MAc9S2PafAdtodtQuZYfs/0wOAdH951ZjVPnBptC89yyHErstarRUZNWZT78yovjK666ONa6VbzzY7dtetxt/Xb0Ky8+WFd+jlqeYeXax245Xr9918mV+nynlb/nEVtVru2tn7uTuunu3iy6L73f4Q1z+A4uD2KXvfxvIBdGuAYAsEtmOXNttVG5tmlb6Frv7ywvduLyPDC/xROd/Lk1ZzzlbaF7uSIlt4Rmk27i3C115dqh5bjsol4os97YOrmZcTOOplpoULeFnn9TaMRgwPtutIXefO9wmHbzDoRruZLmfhctbwg+tr9yLYd12xmuNSvXem/nFsTRTaHN27anLTR/7Xof95LD+eOv1LP8xle47t2fExGTtYVmk2wNvaMfVj3g6Ph5axGzrVz72C3DraD/8MV2raH5Z9XBpc6GqskHHD0YERG33Hdmw9+bB5/rL3q45v4XbbhveaFTVzju5X8DuTDCNQCAXbLTbaHNJ6SjlR9jt4V2z1+51qaKID9pblauHZyDyrVbjw1XY7QJFndSc+bagcWFevj9+Srsxs1My3O2VidoC81/f9q20G2Yh39eN98z/ET883df2CbDcep5axdtbNfLlWvNzZyTGJ2HluXv0clzFz5zLZ9Ts9ouP2ZyUJuD9qZ823a0hd5zKldb5sq13Ba6umGDbcTgZ8Zer1xr9oWeJ1ur56594DN3x92btDzmLcU5YBqnnrm2DaHntHLlWg5CP9py7tqJepvm0ob7HnZFL5T67J3bfw3vhrxF9WFjwrWU0iA4tjF03xKuAQDskmaV0E6Ea6e3mLlWB2cLnUFlykh7UT7mwGKnbtG559S587YdbjiP1TELDRb3/kKD20bDtT3UFnpmZb2eLZZb7O434UbX42MGiC9OUbmWw9KLpm4L3YXKtX6l2pf1n5jvxMy1z/Sf7D/kfoc33LfdlWtHW76/cY6Pq1zLbaH90CvPX2yqZzJuQ1toPXOt/5gdLDRoVK4d2Fi5tte3Cldx/m2h2TX3vyge8yVHY71bxR9/dHxr6G3He6HbROHaLreFVlVVh2vf8fheUNh2qUEO6o8e3Piz5MuuOBIREZ+96+TU/+bsBTdtUbkW0Xhs7+F/A7kwwjUAgF3SrFw7t9Mz10bDtfVBVdryJm2hK42FBrnSpFv15iNNdR5j2kLrQeV7+EnzaOXaXlpokCuNFhsbH+834dKJQVvoIGSp52pNUJ10Kn8/J2wLrSvXdiFcy2Ha1z/8/r0/37394do/3nYiIiK+4qqLN9zXto3zfDPXTp5du+CFEOM+Rg4D78mPpzGVa4vbVLlWVVX9cQbh2qAtNS80aP6cyHP99noA0Z2iLTQizrs1dNAWunm4Nqu20H+670wcO7Mai50U3/mkB0dExA1fbLfUYFyLevbgyw7F0kKKs6vduOXY/LWG5nDtoZuEawfnpOWZ9oRrAAC7ZGUXt4WOhlirE7SFnlvN1W0LsbzYqZ+UTzt7LG+XPDRmltK5GQzjntSt/Sd0V17cft7cThm0hC7XM81ym+L5QsCTYyvXclvo5JVrky40SLu40OCL9/a+Z1/XD9duPX62nh24XT55ey9ce8SYcO3oobyAYLoAelxVWcQgrFvrVhe8WXdc62kO7+qFBmNmrtXz+C7wG3h6Zb2usqrDtUO5cm11UBE51Bbaqf/uXtYMlibI1uJfPaY3d+2vb7pn7OMzLwi46pItZq71r9ndrlzLVWuPeMDF8bgHXxKLnRR3n1rZ8MuISdRtoWPCtcWFTlxz+Xy2hq6sdeOL/fmPm4dre796mwsjXAMA2CWrO7jQoKqqof9oH31ifm59TLg22haaK9f6TwLazl3LT4yH2kLnoN0rP1l8zJdcEhF7a6FBDkPyzKqIQWBxvvOst4UeGLfQYILKtTEz27aSOw13unJtZa1bB6JPeMilcXh5IapqELhth263ihtv373KtcNLC3VYc+IC567lwG+ocq3/PcyB7LiZa4NNsps/Ns6ursfHbzm+ZfVS/hgHFjt1uD6YubYy2BY6FK7NR+Va87Me3Qw5ztX3OxSHlhaiW0Xcet/GUOr2PVy59rF+C+i1DzoaB5cW4hEP6F0HbZYanDiXfxZtnLkWMWgN/cydJ9uc6szcfO/p6Fa9f/PyL2dG1dXbe/yxTXvCNQCAXbK61py5tr1PkFbWu7HeHT/TraqqutphaSGN3Ra61vj7y/3g5f4tN4bmcO3QuHBt5InF3998X/zMH368nsUzS3nm2rUPOhoRe60tdHgwfETE/fL35zznOa4tNAcok1QnDdpCp5u5loOX1/7Zp+NRL33Hho2DF+qW+85Et+pVhFxx5EA9E20756598d4zcXplPZYXOvGll2+sSMnVgNNWrm0WrnU6qQ4xL3Tu2vhtoblybYuZaxPM4/vJ3/9o/KvX/EV88LN3b3rMPY15azmAqmeunWlUrjV+Thzu/5xYWRv+ebbX5OB4kqq13nEpHnzZoYjYuOE2IuL2aWau7Xa41q9cyz8XH9v/5UObpQZbtYVGDJYazFu4dlO/0u6ayy/aNGytq7eFa/uWcA0AYJc0w6ztnrsyuoEst2ZGDAcoBxYWBpVrjfNpPmHLFRK5cu3uKSu4tpq5Nvp5/+Kf/GO88S9uindsMuh7t6ytd+OOE73PMz+JbLMpdafcd6Z3Lpc0Ktcmbgs9t00LDSacubbQaAutqire/MHPx5nV9Xjb34+fN9VWDimuvuxwpJQG4do2zl37VL9q7cuuPDK2hTJ/TU+eW5tqCPtm4VrEoLrs5DaFa0Ntof2KoTxHcey20Dp43TzEydWBH+8HL+PcU1dbDgLhS5uVa2NC22Ygv6crfPrf6gmztYiIOlwbraw8eW6tvkYnqVybVVvotf1Q7TEP7r3+h1bh2uZtoRGNpQZz1hb6ubu3nrcWsfkvmNg/hGsAALtkZQfbQk+vDj8RP7varZ/sN5+MDbWFNoKV0WMiBm2H07eF5hldG7eFnlvrDoUQeU5NboualbtOrsR6t4rFTqrbnvZS5dp9deXaxrbQ81UWHh/zhDaHKlsFKNmpMWHpVnLhRrdbxT/efrKeJ3X95+6d6O9P6uZ7eiHF1f1Q7Usv3/7KtU/d1gsWxrWERkQc7VcDVlXEyZXJw7Atw7WWraYbPsbp/DEG37f8GMhVYYtjAsPFMT8fRuW/P7pht2l0U2jEIGgbmrnW+DlxYLFTP35OT/H13G35KzNJS2j24Mt6j88vjlSu5Z99Rw4sbtl6Pe6XIjvt7pPn4rbjZyOliEc9sPdLh8c1KtemXWowroq26cuunM+20M+eZ5lBRHM0wt6ZO3rq3FqrCkTGE64BAOyS1R1caJDDutzuFzFYHtAMznptoWMq1/rHdNLgfVx+JLeFTle5dmpMW2jz7bP9gd5VVdVzzu48sTvzzT52y7H416/5i/jTT94+dHveTveAowfjiv7MnDOr63tmRlwOKobaQuvKwvO1hebKtWZb6PkDlGzayrVOo3Ltff94R337P3zx2NiKzduPn403vf+mqas5B5VrvYqgXLn2+W2sXPtkf1NoDlxHHVxaqNuoJw3Dut1q7Dy0bFAN137mWrdb1fOtjo6ZuZY1f15kSxNsC63DtS1C8XvGhGu5cm2tW9Wh0uHGOaWU6va5vXLtjZPbQsd8+Ta1WeXaYN7a5ssMIgbt+rtZuZar1q65/KI6+HvkVRfHYifFPadW4p/um26+Ya7GPHqettDbj5+rg7h58Ll+uHbNFuHaoT1YufZTf/Cx+PZffn+85xO3n/9gzku4BgCwS5pBxnb/B3aec3ZpI3zJHyNXzHVSrypl3My1c41torka4/5HJquMalrvDua7NbdLHlxshGv9eXPHz67V532+gGhSp1fW4h0fvW3Tqpd3fez2+Ngtx+PNH/z80O25AueqSw7GkQOL9RPZaVtid0pu4xvfFnq+hQYb5xzVM9fOUwVTVVUdrraZufbeT91Z376y3h1bJfFTf/Cx+Om3fzz+v3/x2Ynef5Yr1HLl2kP6M9G+cM/WLWW3HTsbz37L38b7b7zrvB/jH7dYZpDlr+ukYcCJc2uRC36OjgnXjtRz3NpXbjU/xriZa9m4Vtd6ocEWba651XyritN7T28M1w4uLdRbE3MwM/q4OjwHg9+rui108nQtP05vvmd85dpWLaERzYUGuzeLLodrj+63ykf0voeP7F8P01Y91W2hm/wsOXpwqf7lxjy1hn6urlw7vOkxOVzb7pEQbVVVFX/W//n8Jx8Xrm0H4RoAwC5Y71ZDA7q3e2B3/g/2IwcW6idhdbjWCM4iYmxbaB2uNZ5sX14PzJ88YGqGWs220E4nbTivZkvZXdtUufbrf/m5eNb/fX38+l9+buz9uWLohpGWplsb4VpKqbGJc2+0ht43Zn5Vriy859TKlu1Z9cy1A82Za5MtNPjgZ++Oz919Og4sduLaB10y0bkOtl2uxd987p6IGIRTfzPSGrqy1o339Z/g/VkjiJvEF0fDtcZCg62+Hq/4w4/HH/7DrfFTf/CxLY9bWevWT/AfsUW4lgOy42cmC8Py9/LgUqduFWvajrbQ4/0w9uBSJw40gu3RUGPsttAJNslOU7nWfMxGRFx6qPfnOlxbHv4a5K/J6T1cuVY/arahcu22Y72ffVedJ1ybxUKDvITk2ka4FjFYajDtxtBxVbSjvqxfvfbZu+ajNfTMynrc0v/346H3P7LpcTlU3ivh2hfvPVNXjG+1mITJCdcAAFr6p/vOxL99/Qfij2649bzHjpuTs53/kT3Y0Lm4oa0qPxnLT862ags90Hiyf/mEbYdN+WN2Um9+UtPoeeVWzIiIu6ZsPd1MrgoZfQKb5QDkrpMr9ROiiIjb+ufyoEt6T3AnnWe2W+4dM3MtV66trg9aAMcZtHVuXGhwvvlNr/uzz0RExHc/+eqhCqSt5Mq1D3z6rlhdr+Lq+x2Kf/uVD46IiOs/f8/QsX/zuXvqNuK/+8K99ZywSdzc/x5f3Z9l9SWXHopO6lVGbtZmfMMXj8Xb/6F3vd54x8m67XOcz951Mta6VVx8YLF+XIwzbeXaP/XP+0GXHhp7/5FtWGhQLzMYCTFGw7VxM9cGbaGTVK6d2zSgHLSFDp/DYKlB7xw3q1w7u4fDtTw3crq20N7j9I4T54Z+9teVa1s8xiJms9Dg4/Wm0OFg/bH9pQY3TFu5Nma5yqiH9ZcafOaO+ahc+3y/UvbowcWhn8+jDi7vrXbnv7v5vvrtz999Om6ZssWXjYRrAAAt/fbf3Bwf/vy98Vt/c/N5jx0XYmxn21N+X4eWOhvDtRyc9Z+cLS9ubAvNAVyzcq1NW2gOSg4vL24Y9j3aFtOsXNuuttD8hP34JkFH8/Ybvnhf/fagcq0XeLQJFndSrna65NBwi10OIu7Z5HtUVVVdobjcCDvrjZBbBCgfufm+eP+n74rFToof/IaHTXyu/XFu8aef6s1be8ojroivuuZ+ERHx4c/fO7TQ4s8+OZjJ1q0i/vIz52/VjOhV4+Xw5ur79b5ny4udOrDabKnBz7/zkxExqK7baoPpp/K8tasu3nJw/SBcmywMa245HefolGHdOMc3WZgwGraNq1xbyPP4tqhqXO8O5jneu0kgeu+pfiA8EspeOhJAjC7KODQHlWvZNG2hlx1eqq/XZpBRh2sXbz1zbVw7/046dW4tbupvwdyscm20Avh88mN6s22hEYONoXttqUG3W8V/f99n4g9Gfmbc1K9ufegVR7b8OVH/+7e2Nx7Xf/v54SriD92keu1CCdcAAFr6wKd7QUB+IruVZgtm3R65jU8ec2B1eHmxXh6QA7fVkeBs3DD7c/1jm9VmuS302JnV+Pgtx+NX/vTG+De/8v54xuv+ctMn/rkt9NDyxna30baYWxvh2r2nV847/2sS953pBS6bfU+at/99o6UpB30P7FePTDrPbLfU20JHqoDqCrtNQsDm97g5X6tu/dsiQHndn306IiL+1yd+SV11M4lcuZa3eT7lEVf+/9u77zDH7vLu/5+v6vSZ7b163bu9brhisAEngZAECKETCD3hCUkIkBCS3xPSCCHNFBNKIJTwEAgQQjHFNq6429jgss3r9fbd6aN6fn+c8z06Ojoqo5FG2tn367p8eVej1WhmdKQ5tz73fev01UPqScZ0dCpX1u5lC3C2pfPmxxprDbUJxUV9ybIWs1pLDW594qBuefygknGjdz//FEnSN+7fU1bsC7LFtZNrtIRK0mDatnE2Vgyz3xfbJhjmJ9dqpBHrqbaNNLyUwj4XBDWy0CD4uKm2MfSwnbkWagsNt4mG71P4+asb+TPXZpFcM8ZEtoba4trKesm1eV5o8OgzY3Icd9HC0oHywt/JKweVjBsdncpVTQlHGa+z0EAKtIV22cy17z+6T3/9vz/X7//n/f6bHZL8AuSmJbWfI7ttW6hNrtnH5O1PUlybK4prABpW7ZdPADgeTWTyut/75bRaSirIFrgSMePPGGpHW2hPMl6xlaxi5lqicnaPn1wLFNeGe5OKewmn6/7pFn3oe4/pgd2jum/X0arzsWzBMDxHyd634P16JpDecJzWzDfzk2vVimuBdNFDgeJacOaaJC32583N7j7lCkX9442P66YGi0SNcBzHX2gQLkwsqTMbLphyCRZOE3UKKI/tG9f3HtknY6Q3X3nCrO5vML2RjBtdcsISJeMxnb12RFJp7trOQ5PadmBSiZjRHz7vZEluca2RJMxToXlr1oYlpblrQY7j6G+/46bWXnHRBr32WRvVn4rr6aPTundXeYLDssW1WssMJGmod3YLCHYfib7v1myTcFH8ttBQcS0RLyVb3b9HzFyL2Zlr1X8Owd8Jqy01sBtu7VZba6SiuBZuC3X/3i3tc1FK20JnUV1TqTXUphclt7VWkpY3vNBgfoozP6vSEipJ6URpqUGjc9ccxynNf6w5c81Nrm0/ONnSuaRz4TiOrv+x2yKfKzj69kN7/Y81silU6q6FBjO5gh7x5um9yUsl37HtcK1/ggZQXAPQkCcPTOiqD/1YL/nYbV3zQgfg+JPNF/XYvvFZtaG0y13bD/npjUYGmdsCVzJwctvStlC/HTNeSn6E2kJLM9cqCyvh1lHJXUJgUwSpeEzPPnmZLt2yRFL1d7mDs9/Cev2iovu5wsPQD7ZgvpktKlQrdASLbg/uPirHcRdN2AKBn1xroiVWkr541y79w42P6bWfvkufv2Nn/X/QgPFM3n/tDSeRFtdJ2AVPxIPJtWSsdnLto96J5PNPX6kty6sP6Y4SnEO1dcNiP4l1gW0N9YprtiV068ZFeu6pK5RKxLRndEZP7K/fDhaet2atWxxdXPvfh/fqgd2j6kvF9fart6gnGdfzTl8pqXprqJ3HdtKKOsk1r1DQSJG91n23BuxCgzYk19zbLx2byYjkWmnZRYPJtYjiWrHolLaFhhcahNtC09XaQpv/+tvNfvWzK61J60LJtWLR0f5xr7Df8EKD+Xn9s5tAwy2h1oUb3deCL99dfyyC5L7e2eexWjPXVo/0Kp2IKVso+oXoTrvtyUN6IDCj7L/vf9r/83Z/U2hjxbVuSGT+bM+ocgVHSwdSevF5axWPGe06POUvGWnWVDav2xps7V+IKK4BqOuJ/eP6zU/coV2Hp/TTHUcqZg0AwHw4PJnVr330Vl37Dzfrx7PcKtgOtz5RKi7NKrkWN4H2kHbMXItXvEMeTqXZ9qKiU9r6l8lXJtck6ZOvvkCfeu1W3fOnz9WnX3ehXn/pJknS7VV+gbYnxH1RybVEKLk2Gi6uzb0F0xYVRqsm13KBP+e189CUDk1klC86ihlpmdf+1My20FyhqI/ftE2Sm8T7k68/rH+88fE5F4OPerOrepPxiu2S9RJ2tmgaM/JTiFKpgBKVgnnq8JRfcHrrVVtmfX+DaZ4rT17m//n8jYskSXd7Sw1s+vHqU5arNxXXRZvc4lsjqT+bXFu7uLy1csNi9wQ3WFzLF4r60Hd/IUl6w+Wb/Ra3F56zWpL0Pw8+U/F9GJ/J+SeaJ9ctrs1y5pqfuotuC21kQcJnb9uhf/lh9ceWfZxHFdeitsYGJRvYJFuo0xY6Op2TvUo4qRYe+h5OuZbaQqsX93KFor7z8DO6d9eRlrSTz5b/fZ9ldc0m12xx7fBUVrmCI2OkZXVmrpUWGrS/ODM2k9N3HnbTWedvWBR5ndc+a6PiMaObHzugBwPzK6uxx0c8ZsrSk2HxmPELVd0yd+1fvRb5552+QpJ0147D/ty87Qfd47leca2nDYn1Zt2366gk6Zx1izSQTvgz9O6YY2vo5+/Yqd+64U696z8fmOtdPCZRXANQ0+P7xvWbn7hTB8Yz/onSP/3g8Y78IgPg+LVvbEYv+/jtevhpt03lnp3RbVzz6dYnSsWlbL5Y9xdmf6h8PFbRHtkK035iLF5x++G20OCGQFtUCF/HWr+kT1efssJP51y4abHiMaMdVbaLTQUSdGG9gS2AjuP4baF2E+OhBuebVXsNyuQL/ucfm85VFB6KxVJb0hpv8P0Du4/6Rb4VQz3+92ZJnVlmUb714B49fXRaSwdSestVbivlP9z4mP7sGz+bU+rbJoCiNtHZhF21hQbhTbFWosZCg4/f/KQKRUdXnLTM3wo4G/Fgce2kUnHtvPWLZIw7D23XoSndvs09kXv2ycvLrnvz4/WTD7ZAtT7UWhk1c+0Tt2zTtoOTWtyf0hsv3+RffumWpVrSn9KhyWzZ8SxJj+1zT+qXD6YrBvKH2SUBjcxenMkVtN/bZFptjt1gnW2hP9szqj/7xs/0oe89VlbkD6rWFiqFkmsR20KjZjKG5eu0hdp5a4PpRMVzykhv+fezr8pCg+kaybWv3fe03vz5e/Vr19+mc//i+3rDZ+/WZ27dPm+FC/vlz74t1CbX3Men/d4t6U9H/iyCSlue259c+8KduzSeyWvL8gFdceKyyOusX9KnF57tFqht8akWf5lBunLZTZhtDe2GuWv37jqi2548pETM6P2/crou3LRYjuM+34/P5Pw3heq1hfbYWatdUFyzrfDnbRiRJF1ygptCvGNb88W1yUzef3Ppos2L53YHj1EU1wBU9Yu9bmLt4ERGp60a0nffeYUW9SW17eCk/vt+0msA5sdTh6f0ko/drscDrWK2DaNTDoxn/JYxq15qJRcocoTbI1thKlBcs7dvLwsXWIIbArOh4lo6UT1RILktcGd473JHtYbWLK4FtqWNZ/L+ZlF7ewfHaxey7tl5WK/85J065U+/ox//Yn/Fx4NptXzRqTiJGc/k/UHkl5+4VJI7dy08b00KFK0aLPgVi47fSvm6Szfp3c8/RX/+wtNljPTvt+/U//etRxq6nSi2uBZOAEmNLzRIhYtr9kQ9ovXPJsded+nGpu6vPW9ePpgum1c23Jv0U2D/9MPHlc0XtXZRr992eoVXXLtz26G6RZJqGzfXezPXDk5kNJXN66bHDviptT963slls56S8ZiuO3OVpMrW0Mf2NbbMQJpdcs0mlvpT8chiqXt7dkFC9O3Zx5nkFkKjjE5XHxw/kA4W1yJmrjWw0KBQpy3UzluLKkwG20JT8VhF8a2vgYUGOwKvAeOZvG58dJ8+8M1H9O6vPlj137SW+/XPsrZWkVwrLTOonVqT5m+hwUyuoH/7yXZJ7rzFWKz6F/lW702E7/5sn3/MVGMfz7VaQi07jqAbkmvX/8g9xl587hqtGenVi7zE63/fv0c7vNTa0oFUxSbesPC4hk6yybVz17mpxIs3e+Me5lBc+/fbd+rQZFYblvTp185dM+f7eCyiuAZ0sb2jMx1bIvDzvWN6+Q136NBkVmesGdIX3niR1i3u0+9c4b6I/vMPSa81YveRqabTCqPTOf3zDx7XPTsZMIrj1xP7x/WSj92uXYentH5xn/78hadLkrZ1uLhmZ4qcumrIP3mt1xrqF7gSpi2Dje2JaF8yrr5wW2honlpwzpJNLmVCG0VredYJ1X8RL81+qzyBSidLW1JtK9lwb9Kfk1WtLfT+p47qNZ+6S7/+0dv1kycOKl90dNf2yufG0anyn0G4NdQmi9KJmLZ6878e3D2qZ0bdE91VgeKabbeslggL+8HP9+uxfRMaTCf0qks2SJJe86yN+vuXnC1J+srdT83p9UCqnFXl3s96xTX7uGs8uWa32dWbAVWNTfNcedKyioTKVq819L/u3S3JbQm11zlx+YBWDvUoky/qzoifr+U4jr9xM7wUYLg36X+fbnn8oN7xhXtVdKTfvGCdXnbBuorbsifK3314b9nx6G8KrdMSKgWLYfWTa8FlBtXSOwM12kJ3HJzUtx96RpLb6nvL4wf1iDd4PqjmzLWyttCobaH1N8kGfweMags9XLO4VrqsLx3RPp4sf3Mgil3w8btXb9E33n6pfv+akyRJ33rwGf94bqcmu0L95NqB8YxmcgXtHXWf81YM1j/W5muhwX/d+7QOjGe0erjHT6ZVc+KKQT3fm114fZ30mi2uDaQbKK55Bfcn93f2tf4Xe8d146PeYhevkHjdGauUiBn9bM+Yvv/oPknSxiW1U2tS6c2lzDxte63mmdFpPTM6o5iRzl7nvrG1dcMiJWJGu49M+6ng2ZjI5PUJr9D/u1efGPm8cjxYUF+1MeatxpjtxpgZY8w9xpjLO32fcPx48sCEPvrjJ+c8eHMmV9BX79mtF/3LT3TxX/1Av/mJO7S/yhamdnlkz5he/ok7dHgyqzPXDOs/fvti/xehV1+yQYv7U9pxaEpfu+/pOrd0fPvSXbt02d/8SC/52G1V19RXs+fotF7ysdv0999/TC/7+B36SoPDYoFWyheK+o87d7ZsKPts3frEQf3a9bdp79iMTlw+oK+8+RI/2bLj4GRHNxjf5rViXbZlSWmYeZ2WsFxgqUB72kLdE5feiIUGuVDhLBYzfnHFfizj3ZdwiiTKJfZd7icPVbReTgbuR1hwoLNtKV013OPPwIpaaPDvt+/Qr/7rrbrpsQOKx4w2esmkqFloRyuKaeXJH3tyN9Sb1Fleu+PDe0b1tJciWTlUmoFli1aT2ULdIqi7Sc49sXzFxRvKEgwvOmeNBtIJTWYLdZMd1fgpoIjk2pI6Cw38dt/QyU6pgFJ5opfxZjqlG3gsRLGzo+zCgKCtG9yipj18bUuo5G4ZveIkN1F4c425awcnsprOFWRMqb03yLaGvvNL92tsJq9z14/oz190emQx67z1i7RmpFeT2YJ+8GgpDekX1xpIrtltodXm/AXZZQbVWkKlUrJnMluoaL3++M3bVHSkq05e5qfubrhlW8VtjDW80CBqW2j1eXxWoU5bqE1bLokorgUTe/0RRfhGkmu2kL64P6Wz1o7od59zoi7atFiFoqMv3rmr6r9rlWbbQkf6kn5xafeRaf97t2K4fnHNpgzbmVwrFB2/SPKGyzc39Hrwtme7cxm/8cAe7TpU/TzIf/6tk/CSpM1LvbbQg51Nrn3Ue15/wRkr/VbVRf0pXeXNkvz0rW7Cr968NUltmbXaDJtaO2XlkP8mWH864b8mNtMa+tnbdujIVE6blvb7b1gcjxZMcc0Y8zJJH5H0l5LOlXSLpP81xqzv5P3CwjeTK+hD3/2Fnv+Rm/U33/m5nvvhm3T9j5+Y9QvfoYmM/uY7P9ez/vqHetdXHtAD3lrru3Yc1nX/9JM59cDPxsNPj+q3PnmHjkzldPbaYX3+DRdpOPhLUDqhN1/prmz+px8+Pm/rwO/ecVhv+fw9evH1t+pzt+/o+AtTPblCUf/8Q/cF+d5dR/XL//wT3dngz/Bne0b14utv1WP7JpRKxJQvOvrD//dgS4Ziz0ah6OjeXUf0wFNHO1rEQGc8uPuoXvSvt+p9X3tYf/L1h+e9DfM/7typV3/qLo3N5HXe+hF9+U2XaMVQj9Yu6lUiZjSdK2jf+Py+8WA5jqOfePOZnrVlqT/TqH5baKk9rx3tIf5Cgxoz14IzfRKhEzWbrGukoLJ14yIl40ZPH532E0T+/fC+pvCQcinQFpor+m86rBru8Vswo5JrN3oFj+eeulw/etdV+u3L3degqOJaOLkWThPavw/1JHTCsgH1peKayhb8n2cwuTbUk/BPZuvNXbtz+2Hdt+uoUomYXn/ZxrKPxWPGTwfYOTezdWSqfnKtWsIuF0hMBpUWGlQ+v/tJxxpDx2v5vy8+Q1/6nYv1nFOXV3zMJtck97FmZ/1YV57k/ptaxTXbErpqqCfy5N8W16ZzBS0bTOtjrzy/artzLGb8xQZ/9o2H9bk7dipXKOoXXiH0lJXRmxKDbGplx6Gpuhsud9dZZiC5BSl7ovvmz9/jF3f3jc3oq/e4ib+3XrVFb/K6Cb75wJ6KIlyt4tpgo8m1BmeuHZnKVRSgD3tLOKIKwuW/V1b+XPoaeH48Ol3ZKm0To1+466m2t046TbaFGmPK5q75xbVZJNeybfzd+zsP79WOQ1Ma6UvqNy+sTHpGOXPtsK44aZmKjvTRm6LblCVpIuM+JhppC93stYUenMjq6NTct0jP1jOj03rPfz2o/66y2OWF57htj/Z1v968NUlteVOtGfeF5q1ZtjX0jm2z65gZn8npEze7Bf7fe87xm1qTpPqP7GPH70v6N8dxPun9/Z3GmOdJeouk93TubnXGPTsO6S++do9OWjGgLcsHddKKAZ24fLDsyaxQdPTk/gk9tGdUD+0e1aPPjGmoL6WzVg/pzLXDOmPNiJYO1B7g2m49yVjVX4byhaI/q6VT7nvqiP7yfx7V7iPTSkhaN9SjZ8am9M/feUD/e8+Tet8vnapTV5V+KYvHTEUUeiqb12dv26lP3brdH7K8eahHL7twvS7cuFgf+ObP9Ni+Uf32DT/WO597sn770o1VZx/M5ApzihpvOzCpt3z+HmVmcrpo7YhuePUZGopnpWz5i9orz1uqf7+pqIOHj+j/3fZzXXdW6R2KWj+zsFyhKKPoX+wk9zH6w5/v06du3aH7A+uvP7hrrz76/Yf08gvX6zfOXxPZelRNvfs3lc2XnWikE7GKzWyN+O6De3T46BGt6Utp6WDa/Rl+8ib90fNOqfmOzn1PHdEf/OcDmswWdNbyAX30lefryz99Sjfcsk0fu/FB7Tt0SH/0vJPrDoJtluM4un/3Uf3g0f360c/3+yeUywbSuvqU5XrOaSt05uqhmp+/Nxmv+k5nsehoPNPYNrX5Eo8Z9afikV+T4ziazBbmNIg8zBj3xKba93AmV1AqHqt6nOcLxZq/uEQ9Nw71VP98hcCAd8n9pf2TN2/X5+/coaIj2dO/Ox7dqU0Xbaj4947jaKzBDXkNcaR//fET+twdO5WS9CtnrdJfvOgM9SRzUjanpKSTFsW0/dCkdj5zQKt6l9S7xVkbncrpF/vG9fi+cf1i/4T2HJnSqy7Z6A9bf+rwlA4fPaLBmNGFq9Nalsprh2Y0OTEqZaunUQqZCfVqRgOxtIbiGfVqRrmZCSnbmsJlYca7fZPRYCyrXs0o791+ITPpfe6M//mG4lmZXN67jqOid51+k6l7n/okXbSmR/fsOqI7f7FL67eWTsJy0+79GIznKm7H3q/CzIQOHHa/B+sGpRU9BfVqRuPjoxX/5uChw+rVjN5w0QqtH3S0PJ1Xr2Y0OTFWcd3x8VH1qlR0HR8blbKlWUaT3seX9fQonp/S+avSunvnYe3cO6NeSWv6i/5tGkmr+4raP57RkSNHtaav+uvrJ3/4sHo1o988d52WpwsV9+vCNT2694kZPbz9GencpTW/t4Wio3d88T6tGErr/b98mowxmpoYc+93Ol9x28vS7vduajIrJzNRcazn7c8jFi/7tz3FGfVqRvH8VNnljuMolp9Sr6R0cVrKzv73iqGYdPHaHilXmWJZ0+do46C0b3xGV2xaqh5nRgr8mnHZ+l71mxnt3j+jZw4c1KrhyiLUnv0H1asZnTDSF/lYPWHYqFczSsaNPvGyc7Sip/JnEvTaC5bppod2aPuhMX3w63frczc9ounJKfUZacuIqXs8rO6TNg1Je8em9dC2Z2oO89536JB6NaONQ9Vv10i6/iWn6CUfu02P796nP//qT/XBF5+hz930mOKFKV26fpEuXOM+rq/a2K87dxzS5256RO9+wSmSpDu3Hdaho0fUq6JGkpXH4aJkzj9OejRT8fFkcVq9mlGiUKx6H9POtGIqvTYeOHSkrGA4PnZUvZrRip7Kx+xIvOh//sWpnoqP9xv3uaGQqf78ODUxrl7NaFGq9PU978RBrR9wdGBiVDc+sM1P9lmFolO2MbeeXKFYtTV1atw9rnocZ9bP4ZuHpZ17Z/TMgUM6cvSIejWjNf21H6OSlPKO2VhBLXvdCHIcR5/6sftc9tsXrlWfMlK2sZmTv3vZav30saf07Xue0BsuWu6nvIKmJ92f2eJU5WMyrN/YY2pG2/cc0Jbl/frUT3boq/fu1uKBtM5bN6Jz14/o3PWL/GJllGy+OKti1lQ2r3+/bae+8NNdyuaL6pH08gvW64xlibL7/NwT+rUklfMfHyc28DzRZ9yfn3LZqtctFB0VHafucotGOY4jx1HZ75Q/27lXvZrR1lXpsvtx6YZefVozuv/Jp6XsFv/fT2TyCv4anIybsnOvz9/8pLLT4zp9ab9+5dTh0m0m+2ZffT7GmflMQbSLMSYlaUrSSxzH+Vrg8n+UdI7jOFdG/Ju0pODkyEFJu0dHRzU0VP8dqm73xVse0ct/cEmn7wYAAAAAADievHePlKqf6Ot2Y2NjGh4elqRhx3EqB1wGLJTM3lJJcUn7Qpfvk1Q57MH1Hkmjgf92t+3edcA1ETMuAAAAAAAA0FoLqS1UksIxPBNxmfVXkj4c+PugFlCBbemiRW61OKBQdCpam2oNqSwWnZpbgubDZCav/RMZ7Rub0f6xGeUKjpYPprV8qEcrhtIa7k3KzHpPT+vEY6ZmvDxfKJbFaDP5gh7fN6FHnxnTI3vHtOfIjK4+dbletnVdQwNDs/minj46rV2Hp7Tr8JSePjKt4d6k1i/p0/rFfVq3qHdWLZJRGrkfluM4FbNaprJ5HZrM6fBERocmsxWzR9LJuJb0p7R0IK1FfUk9tn9C//nTp3Tjo/vKHm/nrBvRS7eu0/NPXxk5FNvKFYpqNIDryNGXf7pbf/vdn6tQdHTSikG9+uIN+rvv/kKjMzkt7kvp7196ts5b786D2T+e0bUfuUmOI333nVf4M1zqecNnf6pbnzykV1y4Xn/yy6eVfSzqOAwyRjWj4PNxXCbjpmoLYdTPPOzIdFbbD0xq+4EJPXlgUplCUZuXDmjTsj5tXjqg5YPpWQ8Abqdcoai9YzN6+ui09hyd1qGJnJYOpLR6Ua9WD/dq5VC6ZfF8SSo6jg5OZLX7yJT2HJ3W3rGMhnoSWjXifr5Vw2mNzeS18/CUnjo0qacOT6u/J6ENi93jPJmI6Y+/+pAe3z+uZNzoPc8/RffvHtU3vLkgLzpntf7kl07zh5dn8gV99d6ndcPN23Q4NLdk9XCv3nTlZv3KWavLnsuCj4FC0dGlf/1Djc7k9MU3Xqxz1o341/vELdv0D99/TM/avEQffeX5LfseJWKmalusJH3pp7v05998RFeetEwfa+HnlaRXffIu3b3rsP7m18/UC892Z6pk80W944v36ubHD2ognZCRNJ7J6z9++yKdt2GR/vJ/HtXn79ypN12xWe987klVb/sbDzytd3/1IV16whKds36R/vVHT+hlW9fpA94GVMltC377F+7VJScs1W9ftmlW9/26f7pF2w9O6nOvv0hPHZnSe7/2kC7bslQ3vHqrPnLjY/r4zdv0yos26H2/dKok6bkfvklPH53Wl954sc5eN6K/+OYj+uJPd+ktV23R7169pc5nc+/rxX/1A2XyRX3rHZf5bUBv/Pe79ZMnDuqDLz5TLz53Tdm/sT+755yyXDsPTemJAxP6t9dcoPM3jOicv/i+JOn2P77an6N0944jetWn7tTaRb36/v9xGxEOTmR0+d/+SJL04J9dW3Z82q/BevuzT9Tbnn2C//d/+dETZd/3XYen9LyP3CzJff594P3lt/eH/+8BfevBZ/RHzztFr7t0oyTp//zn/frOw3v1a+et0UvOX6cl/Wkt7k+qv84GPPvz+egrz9NVJ1XOIrMeeOqofvOGO/y/v/7STfrpjsN66OlRXf+K88oWAFin/9l3VHSkm/7wKi0PzW668dF9escX79M560b0xTde7F/+vZ/t1e99+X6dv36RPv+Gi/zLg9/fR/78eW0bQ1DLV+/ZrT/574d16QlL9MnXXFDx8ZffcIfuf+qoPvzSs/WCM1ZF3MLcOY4zq6/9oadH9dKP367hnqRu++OrI5/DJjJ5XfCXN0qS7nrvc/xlKPXux3v+6yF/9tPf/cZZ+uWzysdLfO2+p/Xerz3k//2tV23R2599QtX7/60H9+gP/9+DkqT3//JpevmF5SOq94xO6zl/f5NSiZgeeP+1Ff8+my/q7L/4niTp8hOX6pbHD5YdI7lCUVv/8kZl80V95/eu0IYllb8//frHbtMje8b0orNX669//ayyj9257bBe+5m7dMKyAX3rHZfV/PzB5wvrnV++T9/92T69dOs6vXTrOr3u03f5Iyn6UnHd/b7n1v3Zfv6OnfrLbz+q5566XH//knOqXm82vzdb339kn373S/fp5JVD+sVeNwhz27uvjtysGhT8uu/44+eUza6TpCv/7kfaP57RYE9CZ68d0ZlrR/Slu3bpyFRWF2xYrE+8+vyqo04mMnld+tc/VLZQ/nzejMf3T+hzd+zQN+7f44+rWT6Y1gUbF+uiTYv1wnNWNzRCxr5mLh1I623PPkG/cd7airEY2w9O6v1f/5nu3uXOCduybEDbD02qUHQ03JPUu19wiq47c+Wszhcb/ZnmC0X9ydcf1oqhHv2fa6q/9lvFoqNn/c0P/cUnMSNtWNLvjW8acv+/YlDphNFj+yf0xL4JPbZvXLc+cUiHqiysCYoZd1nEssG0Tl89rDPXDOnMNSO6a8dh/cONj6lQdJRKxJTNF6v+/nTrkwf1b7ds19rFvTp15ZBOWzWkE5YPlC3Emcjk9dDTo7p/11Hdt+uonjoypf/74jP8RUe+ZGPnTQvJQimuHZRUUGVKbbkq02ySJMdxMpL8R2knfnFoK2MqYphx779GxSR1duKalOqTFi2STu7w/WhW+ABLSTpvaETnndjc7aVS0qa+QW3qkiUsRpWPkVSfNDIinRBx/SiXLF6sS05Zr/3jM/qve5/W6HROLzpndUMDhCWp/q+l5V595Wk6ad0Kvf0L9+qBfVm967+fkBTXOeuW6KOvPK9stsvavkGdv2Wtbnn8oL7y4GG969pldW//kT1juvHJScVMj15z1enuNyRgtsdhWKePy6ifediKPmnFkiW6+JT5uEdzl5J0wuCwTlhT96ots7ZfWrui+sdHJK2vEUD+4tuW6Q++8oD+9+G9es//uJuq4rFeve+6U/W6SzeWvaalJL32qhG99Fkn699v36lP3LxNqXhMb7t6i166dW3dX3Djks47cY2+/dBe3bxjSucEvlH/8+ioptWjq8/epFRf/Y16rbJ+5TJNq0e/OFxsacuB4zh66GBO0+rR5tUr/NtOpaR/fPVleu2n7/IH/fan0jpz82opHlPvwJCm1aND2WTN+zOjXk2rR8Vkv5I9A5pWj8aKqbJ/88DuQ7rxyUk9crCg3776jFnd/yO5pKbVo3TfoFIzcU2rR6MF9/YnnbSm1SOT7vc/XzHRp2k5ysR6pVS/JpyUptWjeOA6tfSkpNM2rNJtTx7SbbumdcIa90E9mk/59yN8O6neQf9+bR+b0rR6tHzJYqX7BpTsGdDYTF4Hs0mNjHgD4seP+Next7VopE8zpkeOIx3Np7SstzTl42A2oWn1+CcQh3OJsvtwOOt+j3oHhqRUv9at6FOqd1Cj0zktH0gr2Vv+OB4YHNa0jmjfTFxK9bvLLHZOa1o9+pWtJ+qc8MlEDaeuX6VHDu7W3U9nddUZ1b+/U5pxv4Z4TNlCUR+/fa96k+7Pc2hoOPJnk4/3KZMvKmN6K153ZkyP+7hL9JX/21S/ptWjCSdddnkmFvO/hybd/An2XKxf5R7jjx6KPsYfPVTQtHq0YeXytrUdzfbM4JT1vXKSfdo7U9S2MUdblld+7546NKZp9WikL6nBoZGG78cHfuNCHcjcK2Ok5597ghQqMPzS+Vv00due0c5DU/q7l5ytF55d+xfF3n73OUuSYhHHeyLtPt4yBUV+fwsq+P9+2eLFmtaEdk+Wzj0e2zOq0XxKgz0JrV+5NHLuUm/fkKaVdY+50OdI97vPw0dy0c+po5mM+3xm5H4fQ4XMlz3rVH39Z6P6yoOH9T8/H9XBTEIXblyue3Yd0XTW0YFMQsuHai8QeGrSaFo9WrJocctf31YtW6Jp9ejBfVkVvWNtZGSk7nyqZNLxv+/ZeK+USpd9/Gg+pWkZffOtV2jLcvc+P/uMjXr5DXfo5p1TettXfqGPver8yDcMf/LYMxotpLRxSZ82r14+p1lZJ67t11/8xgq98wVZ3bPziE5cPqANS/pmfb79K1tP1IaVy3XiioGq4YFNq/v12Tcv03/ctUt//e1H9dCBvKS0rjtzpT7wwtMr3mxopYSkv35542OYYpL+7Y1X6rF94zpx+aC2LB+oWuxctWyprvTed8sXirp92yF94/49+s7DezWeyWvzsn5dtGmJLtq0WGetHdaSgbQG04nIov6Zm1fr7M2r9fYv3Ke93gKN0zesijy2Lj21X5eeWjlfN2hxn3TlokW6cna/ohwXFkRbqOM4WUn3SLom9KFrJN02//cIwGwtH+zRm688Qe9+/ikNF9aadfHmJfrWOy7XuetHJEkvv3C9vvymiyOHJr/UG9L91Xt2VyTOZnIFfevBPfrZnlH/Yzfc4m7LecGZq7SuwaQbMFv96YSuf8V5+oNrT5Ix0qK+pD73+gv1+ss2Vf3ltS+V0JuvPEF3vfc5uu2Pr9arLt7Q8PKRS7e4A9h/8vhB/7Knj07rgd2jMka69rT5HUWweal70rrr8FRLNxYfmMjo6FROMaOKE+OeZFyffM0FfnLvkhOW+CcoQ96yoPBmyjC74S0ZN34iN7xh76j3jnYzC3tK20Jj6k3Fym4/uKnUKm0E9LaFegmD1CySms/yNj3e9uQhHZ7M6oPfftRfQBOV5LLbQg+MZ/xFGnZD59IB90QxuDH0KbtZcVHp+TQeMxrxNiCGN4ba7986b8C13ZholbaFuv/eGONvZQxuCrWW2E2cXmpg+8FJHRjPKJWIlaU4G2E3s933VO2NoZm8NyB7xYCuOW2F8oFFMOGEjmWTFlHHg70snMbwf/7F8n+T8R4zjWyNbZfN3ua9p49OR2yhzOqotz11UwMb+uZLMh7T2WtHJEn37Iz+GUc9nhvRk4zr3157gT75mgsiF9qkEjF97a2X6t4/vaZuYU1S2XKtRKzy9uznKDqK3BYefMys8Y41e9IuuZvnJenMNcNVX5Ps5tu+WttCqwyiH/U2hQ71JCM7SC7evFgnLh/QVLaggxNZnbZqSJ987VatGXHvayPbr/cFthm3mv3522/tiqF0Q4UnY4z//Bx1rNvnjuBr+5lrh/Vvr9mqdCKmH/x8v/7gKw9E/kztVuarT1nRstDJ4v6UrjlthTYu7W/qNo0xOnvdSN2unFjM6FUXb9D3fv9KveGyTbrh1Vt1/SvOb2thrVmnrx7Wi89dqzPWDDe8MC0Rj+nyE5fp715ytu7+0+fqgfdfqx++6yr91a+dqV89d402LxvQcG+yZuJ/68bF+vbvXa7nnrpc/am4nncGI6TaYaEk1yS3xfNzxpi7Jd0u6XckrZf0sY7eKwBdaeVwj7765mdp3/hMZFHNuua0FRrqSWjP6Ixue/KgLj+xlF77g6+47UKSe3K9deNi3fzYAUnSm67Y3N4vAMc9Y4zefvWJ+qWzVmtRX7LqSXdYMyvSL9/iPu7v3XVEk5m8+tMJfffhvZKkCzYs1rLBdK1/3nIrhtJukidX0FOHp7R5Du0rQY/vm5AkrV/cF/lL70A6oc++/kJ9+ae79LzAbFNbqAkXcsJyfnGttIV4OlREG/WKBuHLG2G3lvWmEhW3b1tzgomFZML9RdwW/ez/08nGHyOXeMW1H//igK742x/5BbOLNy/W+RsWVVzf3q8dh7yNpT0Jvwi3dCCtbQcny4trR7xiROjNikX9KR2ZynmtMqVUyajX+rx+cZ+ePDDpt99Y9mcU3J5+5pph3fL4Qa2MOIle3O8+tm0R787tbnLxnHUjs94kbUcO3L/raM2thfZnlU7E9P5fPk03P3bAv2xRleM8nYhpXKWfYVAuX1lYlaRE3P38+VCrv/84aLD43g6L+1Ma7k1qdDqn7QcnyzavbzvgHqdrRnprjo3ohPM3LNKd2w/rnp1H9LIL1ld8fPeRaUkq26rZKvXakoMGAo9/+zgICl6WKxaVjpV/n4NvNtqC1f5Ace3B3aXiWjW2VdT++yBbhA+PFrGOeM+TI33R/QvGGL320o1639ce1sYlffrs6y/UUE9SG5f2a9fhKe08NKWL6qROn/GKa1HPC3M11JvQYDrhF81XzKIIlEq4iVb7ZojlOE7puSP0HH7R5iX62CvP1xv//W799/179PzTV+oFgU2qhaKjH/3cLa4999TqLevdbs1Ib8U4loUmnYg3/dy8uD+lT77mgllvzUXjFkRyTZIcx/mypHdKer+k+yVdIek6x3F2dvBuAehisZipWViT3BPBX/VmBv3n3aWxjN98YI++9eAziseM+lNxjc3k9cOf71e+6OjizYt1lvfuNdBum5b2N1xYa9b6JX1at7hX+aKjO7cfkiR9xyuuPb8D734aY7TRS6zYIk0rPLZvXJJ04orqLUDDvUn9zhUnaMOSUmJmqNc9UR2fiT4RtPwEUTzmnzyGkxlHvURG1MlTLYWi41+/NxmvuH0/lRZII9nEik21NZNcO2vtiPpSbqFzIpPXaauG9OnXXaAvvvHisnSMZQtSMzn3cwWfg5cOuo/jQxOlNJqf9AkV10qJsujkmp2RGU4T+sm13tJJ+Uu3rtOlW5bolRdXtsIs9j7PIe/z3OUV1y7atLjiuvWctGJQA+mEJrMF/7EWpVRci2vd4j69/dml+XdDPdEFFFs0jXrMZAqVhVUp+PMPJ9dKxb1OMcZo8zL3GNt2oPwYt3+3H+8mWze6BdS7qyXXjjSXXGu1wXTp8R91vCcDabZw8VVS2exXWxyLTK6trV5ce8tVW3TDq7f6HQJBpWRvMTJlZZOLI73Vh4O8/IL1+virztd/vfVS/w2gjV5Bb3sDrxv266n3e2IzjDF+4k+SVsyigJf0Cp/h4zYbmEEcVXx59inL9aYr3Td+P3v7jrKP3f/UUR2azGqwJ6ELmnhuw7GFwlr7LJjimiQ5jnO94zgbHcdJO45zvuM4N3f6PgE49r3kfPcXv+/+bK9Gp3LaPz6jP/3vhyVJb3v2Fj3wZ9fqG2+/VO+77lS9bOs6/d9fPbOTdxdoi8u89Notjx/UgfGMfrrTLTJ0orgmldrGwifec/GYl1w7uUZxLYqfXKvTFmqLWMmy4lr5CZI9aZRml14LFun6UnG/jcbeRlRrYLi9KBNRgKsnGY/p9685SRdtWqx/+a1z9a13XKZnn7y8agtQOGkUTIUs6Y9qC/WSPovKT3Bt0etIuLjmff9sMW5surzgaf8eLFJtXNqv/3jDxWXJZGvpQKng5ziO7tzmFpcv2tT4rDUrHjM6e51bbLh3V/XWUNsG2eOlT954xWb90pmr9DtXbK6aPK3ZFmpTixVtoV5yLVS8CCbnOmmTf4xPlF2+zWvp66aWUOvcdW5xbduByYrCr1R6PK/t8NiI8uRaVFto6fiNKq7Zglc8ZrTCm122bywjx3GL/I/udYvHtZJrA+mErjltRWQCtC/wPDGTr3wePOolVIdrvLEUixk97/SV/nOFJG303hTZUact1HGcUnKtzmy2Zq0NFFhn8zlskTwTKqQH/95TJX38ios2KB4zumPb4bIC/w8edUeUX3nSspYucAKONxw9AFDHGWuGdMrKQWXzRX3jgaf1nq8+pKNTOZ2+ekjvuHqLEvGYzlo7ojdesVl/8xtnRQ4xBo51l5/ozl279YmD+t4je+U40tlrh7U6oqVnPtgT60Zm5zSqlFyb3TFsU1DhQk6Y3xaaCMxcy0bPXJOkqVzt2wuyRTRj3KJI1eRa4KTZtoWGi2uzbTl5w+Wb9eU3XaJfPmt1zZkvUuVJ3+qR0kllaeaae+I8kyto37h7ghve1mzbNQ8FChjFouMXOGeTXKtlcSAht/vItPaMzigRM/78tNmyraH37jxa9Trhn0NPMq5/fcV5eu91p1b9N6kqJ9xSsB25/GeT8GfuhdpCmyiytoPdVrjtYDi55hbbNndhcW1Rf0oneIm6+yIKqLu95NraRZ153rT6A3POIttCY+VtoWH5iOJaNl/UkamcHts3rmy+qKGeRMNb1sN6As9BUxFvMth270VV2kKr2bjUvT87Dk3VvN7RqZx/HCwfas/Yg2Br8IpZfI5qhfRM4I2aaunj1SO9uuZUd/HMvwfSaz941LaE1ti0BKAuimsAUIcxRi/x2hb+9ju/0A9+vl+peEwffuk5vMOH48Ylm5fIGDfd9fk7dkmSnn/Gqjr/qn1aXVxzHMcvrp00y+TaYIMLDcpnrrnPHeG20NFAcm0yM4vkmp23lozLGKOeVOn2Hcfx52gFCyZJP7kWagttY1GlN5RSWTlUOsFc4qXEbHLt6aPTchw3xRJMn0jRbaHjM3m/LWq91/5VbeaaTRvWY9N0E5m8bn7cnal51trhugO2q7HFtajCi+UvFJjF7LtabaHBduQgW0CpWGhgh6LPcqZcq/np1HBx7aBtC+3ON7LsrMHwUgPHcZpeaNBq6UTcP86TEQsNjDGlx0dEcs3OXEvEjFKJmH887h2dKWsJbXYwfixmSs+REcW1RtpCo9jk2s5Dk3Kcyq/Lsqm1Jf2pWc9WbFQwubZiFsm1VOh525oJLCKp9X1/9SVu+/t/3fu0xmZyeurwlH6xb1zxmNFVJ1emdwE0jrNCAGjAr56zWsm48YfP/v61J+nkla1dzQ50s0X9Kb/F59FnxiR1riVUkjYta21xbd9YRuMzecVjZtaznGyhZipbqLm9NLixszR7LHrmmnt7s0iu5UrFteD/HcdNM9WeudZ8W+hshYtrwU184W2hwUJE+GQxPAtNKn3v+lJx/7YmMnm/ha0Y2Lpp5+TVM9Sb8IsMds5gvUHotdgNo9sOTla0tFr259AziwRhKc1SWTDI2sddtW2hhSptoR1+88gWz7YdmPALIflCUTsPde/MNUnausGdWRUurh2dyvlbgDudXJOkQW8mYlRyLXh51HNaMLkmKdAaOqMHveLaGTVaQhtRbS6lJB1poC00ytpFfYoZ97n6wHim6vX2jrntu+1YZlC6L8Hk2uwWGkiVhXT/eaNOMfCSE5Zoi7dJ9b/u2e23hJ6/YVHb57cCCx3FNQBowJKBtB+XP2/9iN54OdtAcfy5bMtS/8+nrBzs6Mwjm2p5ZnRmVkWoamxqbcOSvlm3RQY3T07UWGpgT4aStRYaBJJrUe1Q1fjFtVR5cU1yC3h+ci1eujwVagvNeoml2Sw0mK1wGmpVoC10WWihQbVlBlKgXTOw/MB+74Z7k/7PxHHkF9Qms6VkW6PJNWOM/7lue9Kdt3bhHAZ+L+pP+Y/d+56KTq81k1xLNZBcq1hoUG0wepWNg/Ntw5I+GeMmEm2r8O4j08oVHKUTMa1uw6D5VjjPS649sPto2ffWLjNYPphuWxpqNmzhaEl/dEHFJtrCM/kkqeClHW1xzd7W3rFScu2sNSNzun/huZFBtn1+tsm1VCLmJ8ZqvTHT7nlrUnlxrZmZaxVtoflScq0WY4yfXvv3O3bqRr8l9NjdEgp0C4prANCgP/nl0/TmK0/Q9a84n007OC4Fi2vPO71zqTVJGulL+fN2dhysPT+nEX5L6PLZJ1IT8Zj6vaJWrdbQYJGjtA2vVnGt8aKhva4tqiXiMb/gMp0rBAp7gZlr4bbQQvuLKrWSa+GFBk8d8ZYZLK4sovgLDaaCybVScS2diPttZbYVdMwrfKYSsVkVN+znKhQdxYy01SueNOvcOnPXmlkoUGuhQbCoG1RqCw0n1xo7SW+3nmTc30Rp56xtDywzqDffr1M2L+3XSF9SM7miHtkz5l/uL+fo8DID6x9edo6uf8V5Vbcj2+JrvkZyLRFKrj11eEo/f6b+MoNG2OM3cuaabQud5cw1yS3aStLOGnPX9tniWhuTa+sX97lttfHYrD6PfQ4Pz1e0G5gbef7+tfPWaiCd0LYDk/rJEwclSc9h3howZxTXAKBBa0Z69ccvOKWtv2wB3ez8jYs04LUSXXdm5+atWa2cu/a4tyn0pFkuM7AGe+ovNShbaOAVd3IFp6wgEpwRNpuZa7ZIF9yyFzw5jWoLDScgSksP2vfrYTJuyt6cWBlIHy0dTPv3dyqb95NrUUPRo9pC7ffOnnAPe6kWe/ls561Zdhac5La6Dc7y34fZZQhVk2tNLJao1iomBWeuNbbQYD7agxtlW0PtMf6kXWbQpS2hkjsvzM7WC7aGPtUlywysk1YM1nweT1SZ7SWVHjN+cs0rrt3y+EFlC0UN9yYji+KzYZNr4TcgpFIL+KIm2hj9141D9ZNrq9r4+95gT1IffeX5uv4V582q2F91oYFfFK9/WwPphH7tvDX+3zct7fcXiABoXudfNQEAwDEhnYjr06+7QJ941fldMXNw01J74j0x59t6bL+XXGvy67IzvGon1ypnrkmlk8dcoaiJTKk4F9UOVY1NdwRv16bjpgOz4MqLa15bYD68LbR9vx4aY9Tj3f5gT8Iv1kpSf6qUNjs0kdWuGsPfbcHryGTWn8c16qXYRnrdj9kimv2Z+MW1BuetWXYzqSRdNIeWUOu0VUOSpG0Hok/u7eMhvFm1Fj/NEpEyqtYWmvQKI+FtkHbr4Gzbo9shvNTAX2awtLsLAf5Sg8DiCrsptNPLDBqVrLLwQpKKjk2uuY+plcPuMfKQXWawpvllBpZ9/opKrvkt4E0l19zH1I4ab8rsHXOLa7OZhdaMa05boeeeNrvEWPW2UDtzrbHnDdsaKknPOYWWUKAVKK4BAICGXbBxsa7tcEuoZdMr4W2Cs+U4jp7wk2tNFte8Qs54jeJaNlDkcDe6uZfbeWnhzZaTs1lokK1MrvUGliZkIzZGVkuutbuoYk+aw6kQY4zfGnpgIlNz5ppNrOSLjp8WPBpqFRvqtWnC8rbQWSfXAjOpLtzU/DIDyxYUowa1S80m17wkZERyLZt3CyHJUNHUJpMcp7T9UQq0B3dFcs07xr3Emv1/J+c9NsK2Dn//Z/v09fuelhRsC+2O5Fo9NZNrVRYaWHNdZiCVnr+i2uNHm9wWKkmblrrPJztqtIWWkmvd97NKV1tokGs8uSZJW5YP6trTVigeM3rROWvq/wMAdTW3RxwAAKDDWtUW+szojMYzeSViRhuXNHfSXirk1GgLDcy+MsZtDZ3KFjSTdS8PzluTqi80+O/7n9bKoZ6yrZXhhQZSKcUWnLkW2RbqnShHXacd7P1aGXHiunQwraePTmvbgUm/GBZVjOhJxtWfimsyW9ChyYyG+5JlM9eC/7c/k1JyrbnimjHShRvnnlyrtinW8tu7mlloMIvkWnBLZK5QVDzm3i97kt4VbaFL7cbQybL/d3NbqOS+CfFLZ67S/zz0jN755fu149Bk2fbbY4E/ky/iMVUIzVwLj8s4a+3ci2t9VeZS5gpFf0lJM9stbXJt56FJOY4TmbCbj5lrzaqXXJtNUfyfXn6uRqdzbU/oAceLzr9qAgAANKFVxbVfeMsMNi3tb7qgYLdTNrbQwD2ZC28MHZ3Oll0/KrGx5+i0fu9L9+ttX7i37HKbXOtNlt43rd8W6p2k5YsqFB0/jTJfxbXVESeuy7x2z/u8drqlAyl/9lLY4oHypQbhVrGh0M/E/n+oZ3bvLS8ZcNN0p6wcaqoNLaxUXCv6La1BpbbM2Sw0cB9TNWeuJcJtoaW/B5Nr89Ee3ChbRNt1eEpHp7LaP57xLu/uttBYzOifX36u3nSFu1n8Izc+7ids1x4rxbV49MILqXLm2orB8mN5rssMpGByrby4Fkz4zvZYltziZsy4t3vAezwFjc/k/OJdNxbX7HEcXmhgnzdmM7+tJxmnsAa0UOdfNQEAAJpgU2ZHp3I6Mpmtc22X4zja783TsR63m0KbbAmVAvO9puvPXLNFrZ5QcS2cXItaaGA3aR6cyJYV3+wJaG+q9KudTX5M5wr+iViyrC3Um7lVKJYVZdpdVOn1k2uVJ3W2LfS+XUcl1d6saGehHZpwf/b+QgM7c61ioUG+7PJGPefU5bpsy1K94+ots/p31QRnIoVPkCVpJl85P6+eVJU0S/CyyoUGpb8Hlxo005baLiuHetSbjCtfdHTTYwckuQXX4SbaAedbLGb0nutO1QdffKZfhIoZadXIsVHMsPPUoh5ThVBb6Ehf0i/6jPQlW7K0oTdV/vxo2efJwZ6E37o6G6lEzC9wRr0xs897fRhMl8+E7BbhLc9Wt2z5BY5nHH0AAOCY1JuK++mnRueufeGuXbrwgz/QX//vz/3LHvPmrZ3Y5KZQKbjQoHpbaDbUnhdMlklRbaGVtzURuP39Y6XURWlbaCC5lizdftQm0KTfSuiUFdfanVyz9ytqE9/SQbcw9vO9Y5Jqt9DZds3Dk7a45i006Au3hYaTa7MrzKwY6tHn33BRyzbkRi2zCGouuVZ9W2hUYVUqtfRJ5UsNumlbaCxm/ITqDx7dL6n7lxmE/dZF6/Xp116gkb6kLt2ytOLn0K1s8T28TVYqLTmwxTVjjL8xtBXLDKTy56+g0TlsCrU2LHGfV3ZGzF3bO+o+r3Zjak0KPG+HjvWZJp43ALQWRx8AADhmbfLaxu4LbOWr5Z4d7vU+dtOT+u/73UHjNrl28hySa4OhzZRRqrWF2gLL0en6M9fGA9tE9wUSeFHbQnsCbVVRQ+rtSVq+UPRTD8aUF13a4aUXrNN560f07IgNdUu9FkzbiVZr+Ptir7h2aLK8LdQOOS9tCw3PXOtsGiUZj/nfY3tCHNRMcsz+LKOScNVmrhlj/OJIeXKtuxIw9hj/0S/c4lq3LzOIcsVJy3Tne5+jz77uwk7flYbZVFhUW2h45pqksuJaKyzyju+DE+Wp5PDikmb4IwUOVb4p88you3iiW4tr9risnLk2+8QrgNbqjldNAACAJlx1klug+dD3fqGHnx6te327BU6S3v3VB/XInjE9vt8m11rRFlpjoYEtcngnRxUz17zZYbZtMKq4VpZcC8wLmvaTa5XbQiczednRXuUz10ptoZlAsq0VqZNafuP8tfqvt16q5YMRbaFecc1aX7Mt1Ju5ZotroYUFtog2GkquDc4yudYO4ZbgoGaKW6kqJ9zuZeXtyEG2OBL8d9kumrkmSSd4hZBx77Hf7csMqkkn4oq1uXDdSrbwWoiauRZqC5WkK09eplQipmtOW9GSz29bS586Up4u82crzqE12C412BGReN7rbwrtzuJa8Hk7qJtmJQLHK44+AABwzHr9ZZt01cnLNJMr6k2fu0eHJioHVAft9dJea0Z6NZMr6tWfuktT2YJS8Zg2Lml+0HipLbRGci3vLQywM9fCbaFeEWj1iHtSOZmJaAutklwrLTQIFNe82w8OAE9GtIXmCk5ksq0Tlg6Ut3rVagtdHGgLdRxHo6FES0VbqJ251sQQ9FartTHUb++azcy1Gm2hpYUGlYWdZEQ6yT9J75IETHh5QbcvM1go/LbQYuVjqugn10rPF2979hY9/IHn6dz1i1ry+e28xd2Hy4trdoFJM5tCrU1L3dveEdEW+oz3vLqySwf9V1toYJ9LuuW4BY5HFNcAAMAxKx4z+sffPFcbl/Tp6aPTevsX7otM70juMoM9R92Wn+tfcZ7WLur1FwRsXtbf1HBsyybXxmvMXAu35/V6CbXwQoM1XnEtKtUULK4diEiu9aZqF9eitoVmAwsNUh0eYr8slFyrvdCg1BY6kyv6BUJ70j0UatX1Z651wTB8m06MnLnWTHKtxkKDbJWZa1JgI2QhYuZal8wGCyfVjtXk2rEmHrNt440l16TWzumzhfVnxmbKisalxSVzT67tPDRZsbF3n5dcWzk896UM7ZCscqzb47aH5BrQMRx9AADgmDbcm9QnXr1V/am4bt92SB/89qOR1zs6lfNPQE5eOaiPv+p8v4Axl5ZQyd1cJ9XeFpoNzVwLp5dsIsO2I0Ul14LFu/KZa+7lZck178+2qBSep5YMFFa6paUo2BYaj5marVnBhQZHvSHniZhRv1dUrNgW2uRCg3ao3RbqnSQnZ98Wmq25LTSqLbRy82DGT8B0x2lCcMZaPGZqphnROslY9eSaP3Mt3r4216UDKfUkY3Ic+W+KSKU3IRbNYebaukV9ihm39T74JoVUGh3QvW2h0SnVTBOJVwCt1R2vmgAAAHNw0opB/f1Lz5EkffrWHf7w8yB70rSkP6WeZFynrx7WP7zsHK1d1KsXn7t6Tp/fFnIaW2gQmrnmtXSOhtpCI2euZUq3Xz5zrVh2m8E/29tNhuapleZ0OV0zZ2ukN+mnYVaP9NRMEwbbQoNDzu3XGJ6DZwuTwx1eaCCVfjaZqIUG/ta/2S80iG4L9WauRfxso1r/Si3C3XGSPtiT1LJBt+i6fnFfV2wxPR74yy4anLnWasYYrfUKqcG5a7Z9fngObaGpRExrvJlu20Nz1+zogGNtocFMly0iAY5HHH0AAGBBeP4ZK/Ub56+VJN3+5KGKj0dtgbvuzFX6ybuv1tWnzG0Ity3kTGTy/jyiMFvksMUBP7mWL28LrVVcm8yULiufueYWjvoi2kLt7aZDhSqbWipvC+3sr4axmPGLZrWWGUjRxbXgkHP75+lcQZl8obQttCuSa9FtoY7jlE6SZ5Nc81t8Kx972Rptnn5baHDmWq47HgtBm7302uZjcFPoscoWbKMWGhS8Ymy8zctP1tmlBoeDyTVv5toc27s3+q2hpcLdTK6gw96ClG6duRaclRlUKsp3z3ELHG84+gAAwIJx+uohSdKuqEHVfrtP62fp2LZQx5EmstFz13Kh2Ve9/kID93J70rh62BbXareFRm0L7QkU12zxzhaVwsWS8m2hhcjrdMJSrzW0XvufLa5N5wraO+aefAeLawOBxQV7R2dkawTdMXOtvLBq5QqOv9l1Nsmx0kKDyoJsODEZlIyYq9XMzLd2O3GFu8Rgy3KWGcyXuL9JtjPJNak0c7EsuRZaXNIsW1zbfqiUXNs/5j6nphOxOd9+u1RbaOAft7SFAh3T+Vw8AABAi2zwNn7uOlxZXNvbxlk6Pcm4UomYsvmixqZzkemo8My13sDcrULR0ZhXOFs94t4/264ZLHgF20LHZ/KazhbUm4r7raVlyTV/5lre+7yh4lqiVFiplW6ab3ZjaK1lBpI0kE4oFY8pWyhq+wH3BDm4QTAeMxpMJzSeyWv3Ebf4lorHuqJo5M9cy0afIEuzK27VagsNP+6CohYadMvm2KA3Xr5ZyXhMr3nWxk7fleOGfWwUOjRzTSoV2J86HGwLtdtC51hc81KQOwJtoTbdvGq4p6yFvpvUW2jQTcctcLzh6AMAAAuGbSV86vBUxRY4P7k20p52n/CMr7DwYPnewEKD4CIE2xYqleaxWROhJQf7x2fKrhecuWYLbfbfhFNpwQ2TfkGlC4bYv+CMVVo+mNazT15e83rGlFpIn/ROkMOtYjaltttLvgz1JrripDm8zMIKplFmc5KcTkS3irmXVU+u2Y2QuS5vC92wpF9/9iunlx0baK9EjeRawU+utfcxsm6x1xZ6pHKhwXBv8zPXJOnUle4Sm588cdB/juz2eWtSqUgeLqTb55JumZUIHI+651UTAABgjuwA7PFM3j8Js4KphHYY8gblRy01KBQdvy3RFjl6UqWFBnZI90A64abgvOtMhlpDJ2bK/75vLCPHcfy20N6I5JoVLpbYk+dsYFtoNyTXfuui9brrfc/VaV6Lby22uLbNS64N90UX1+zMpm6YtyZJPd7PItwWWjpBjs2qCFhqC62+0CCqWJeMSK6VEjCcpB/PEjVnrnnJtTa3hdrn891eci1fKPqt8XPZFipJF29eos1L+zU+k9d//vQpSaU3YLp13ppUfaFBM1uGAbQWRx8AAFgwepJxrRhyZ3aFW0P3+idO7Um/2MLN+Exlci14ImTbMYNtoXbemp0Z1pd2Pxaeu2YTFnbG2/7xGWXyRb9wFyyoBeevSZWFs2TgJC3TJQsNZssW13b4ybXyNMuQ932yybXBLpi3JgWSa9no5NpsW7v8ttDQCXeh6PiFkKjkWlQ6qVs2x6Kz7GMjX6gs2M73zLVDk1lNZvJ+i7tUPl+xGbGY0esv2yRJ+tSt25UvFEuvEW2Yy9kq9dtCKYoDncKrJgAAWFBsa2iwuOY4jp9KWN2mtlBb8Aq2eFrBokfUzDWbXLNzhPpT7m2FN4bawt3mZe5g931jmbLWwmBxLZxcS1ZpCw3OXDvWTsyCSw0kabi3fJzwsN8WapNr3TFu2CYMZ8JDye3Gv1kOJa+WXIsq6gbZdFLem6vlOE5gMDqnCcczu00438Hk2nBv0j9mnz467b8JMZhO+I/dufj189ZqUV9Su49M67s/29fWuZytUm2hgZ965bgFOoajDwAALCjrIopro9M5vwCzok0tP7YFMaotNBc4EbIbGntTXmtgrqDR0AY8W3yZzJQKZ9l8KWF2wjJ3GPf+8Rm/AJeKx8pOOMPFtXQ4uRacuXaMJ9es4EIDKdAW6s9c65LkWqL0sw9qdlNnqkpyLaqoG1RqC3WLJflA+3I6fmwVWtFa/rKLiOKafby0O7kmBTaGHp7SETtvrUWbPHtTcb3q4g2SpBtu2eaPDujumWt12kKPsTdIgIXk2PoNCgAAoI7gUgPLptYW96f8lrxWq7XQwLbdJWJGMe+EtLQxstQWaotD/anKttDJwDKDzd6mu/1jmch5a1L55lApYuZaYDC2Leoca8W1JaHiWsXMNe9nsm8sU/b3TksHfvZBMzk7N2m2yTXb3hlKrkUUdYNsOsn+u7KFCiRgjmulttCo5Jr7OJmX4lpgY+hoizaFBr3qko1KJWK6/6mj+tmeMUndPXPNT6mGi2sk14CO4+gDAAALSlRb6Hy0+9iFBuNRybWIjY2RbaF25prXFjoZKL7YeWu9ybi/NXH/+EzkplCpcuZaOLlU2hbqHLNzthYPhJJroWRaeC7TUG+XtIUmq7SFNp1cc2+vsi20sqgbZB8Tts0v+O+7YbkFOscvrhU7N3NNKt8YapfULOqb26bQoGWDab34nDWSSl9XV7eF2uftfHnRc+YYfQ4HFhKOPgAAsKBEFdf2tHlTqBRIrtUsrpVORv25W7mCf9JoExl9/ibRUlrNzlsb6Elo+aD7dewLJNfCSbV620KTgXlbx2xbaF+9ttDyYlq3JNf8hQYVbaHNnSDXm7kWtcxACiTXvKKCLe4l49HFOBw/SvP4OjdzTSptDH3q8JT/PDnXZQZhb7h8k//nRMxoyUC6pbffSlHLSxyn9AZJu5LZAOo7tn6DAgAAqMMW1/YcnfaLC6UtcO0srtmFBtXbQoPFq95Aa+Con1xzi0N9aS+5lqlMrg2mE/5G1P1jpZlr4ZOqZDxWdvKbSkQn2XIFRzM2MXWMpZXCM9cqkmo94b93R3KtJ1lt5lpziyWSgflYxUAxxJ6AVyuaxuPlGyH9hQrMbTruxWtsCy34ybX2P1+UJddCi19a5cQVg7rq5GWS3Jmc85HIa5Y9loMt32Xt3MfYGyTAQsLRBwAAFpRlg2mlEzEVHbfAJpVmrq0a7m3b56250KBOW+gRb+basL8ttHLm2kTGvd1gcm1sJu/Pawsn14Kfw/3c5SeMweUHU5ljdOZaqC00XDyrbAvtjuRab5Xkmv17zyznJgV/bsFES73kWjI0V8v+W07Qkay10GAek2t25truw1Ol2ZS9rWsLtd727C1KxIzOWT/S8ttuJftzCR7n5cU1CuNAp3TH23cAAAAtYozR+sV9enz/hHYemtKGJf3+Frh2toUO9tiZa5XJtWxEkcMOtS860oFxd+C+nRnW6xfXgsk1988D6YSGehNKJ2LK5IvacXCq7N8E9aTiGvcSb+GCSXCm1mTWXufYOjFb3F9q3xrsSZQVDKXKYlr3tYVGb/ybfXKtvLhmb99v943YFCqVCqy5Ynly7VgrsqL1bCoteqHB/M1cs22h45m8dh5yn+tanVyTpAs2LtZNf/TsiiUp3Sa40MBxHBlj/GUGxkRvBQYwP3jlBAAAC0547toz89IWWiO5lo+YuRZIldm21dK2ULdQV1Zc84p2/emEjDFa7rWG7jw0WXF7VjDNFh5QH7wvk8docm24Nyl7fh91wl0xc61LFhqkq7WFNrnxL/izDbaL+cm1Kj9XP51UKJ+5RnINNpVW6HByrTcV11JvBtpDT49Kav3MNWvNSG/Xzyyzx7rjlH42tijfk4jLGIprQKfwygkAABac9UtKQ7Adx/GLV6vnoy10Oqot1D0JCiaMknHjJz8OTXrtTnahQdo9wZvMVLaFDnrz2FZ4raE7bHGtTltouHAWjxnZ8zCbbjvWimvxmPELklGtYpUz17ojuRZsCQ5qdqFBLGYi28Wy+crHXVDCTycVveszcw2uhD+TMWrmmnvZfC29sHPXDnvPk63cFnqsCadUpUBRfJZFeQCtxREIAAAWnGBybWw67yfA5ie5lpfjlKc9chGD5Y0xFWkz2xba510+latMrg147ael5JqbzouaudZTNnOt/Nc+Y4ySXnFlskrr6LHALjWISrN068y1qm2huejlFI3wtwhGJdeqFddsASWUgOEkHd2SXJNKc9esdrSFHiuCryE5r3g+k2NWItANOAIBAMCCEyyuPTPmzltb1Jdsa8uPnblWKDoViSSbMAifjIbvjy3+2G2hU4Hkmk2XDXgfs0sNbOot6murlVyTSm2Bk8dock0KFNciTrj7UvGyuVDdklyzP6tMi5JrUmCLYMRCg2o/V1t0K7WXee3Bx9jWWLSeTTXmIopr8zlzTSol16zjubgWfA0JJ9e6vaUVWOh45QQAAAuOX1w7NKVnjrZ/U6hUXsgZmy5falAtQdSbKt8eak+O7My1yYiZa+HkWvDfhwVbRSOLa95lE7a4dgwWVewA8pGIVJoxxt8gmoybWW/hbJf6baGzP0m2P7tMRHKt6kKDWHnrH8k1WDbVaFtAgzqdXBtuw7bQY4UxpmypgVRaREJyDegsjkAAALDgBDfMPbp3TFJ7N4VK5YWc8FKDagmiYEEsmMawLZ7TZdtC3QJYeOZa+N+U3X6NhQZSqdjnt4Ueg8mH5YNukXHJQDry47Y1dKgn2TXDvm2RL190/HlnUmnBQTMnyfZnmQtsd8zk67WFlm+EnEtxDwtLosa20KJNrs1TMX7d4nBx7fhNrkml53K7vGTGX0TCcQt0UnesTAIAAGih3lRcywfT2j+e0V3bD0tq77w1a6g3qSNTuYqlBrkqg+WDxbXgCaMtlE1mgwsNaifXmmoL9ZIntvPrWEyuveZZGyVJv3nBusiP21bbbpm3JpX/rGbyRQ2EUmfNtHfZglz5zLV6Cw28baHF8uTasfg4QGvF/cdGd81cG0gnjsn29VYKLy+xybVuSeYCxyuOQAAAsCDZ1tC7dxyRJK0eaW9bqFSauzY+U94WmvXbQqvPXAsm1/r9mWul5Jq9zYG0e70VQ+HkWuV7pmXFtajkWugk9Vg8ad28bEB//qIzqv587Zw1myrsBsFkWjCdOJetf6nI4lqDCw1sci3H1kG47HNVVHFtvmeurRrpkf1Ux3tqTao81kmcAt2BV04AALAg2eKaTXytHJqH5Jq/MTS6LbRy5lqguBaYI2Qvn4pKrvkLDUIz11KVv9YFbz+qwBK+bCHO7BnuwuSaMaX5bzOBuWtzmZ1UaguNWmgQXQRJ+q1/7vVsEXghPg4wO35yrVB95lp8ntqsk/GYPzPzeF5mYIWPdb8oz3ELdBRHIAAAWJDCc3raPXNNChTXwm2hheh2u2oz1+xCg6lsQY7jnsjahQY2HTfcmyxLmvUmK5NZPXW3hS784tpQr/t96ZZNoZa/MTRfKq7NZXaS/fkGFxpk685c85JrdltorvZ2URw/wptkg+ySg0SVRRntsHYRxTUrnFybyTXfTg6gdXjlBAAAC9L6cHFtHtpCbSFnbCa8LbSBmWvBhQZp9/J80fHTROHkmjGmLL3WG7XQoG5xrfzkeCEWVWxRbbCL2kIlqSdhl1aUimFzmZ1kC7fZQuXMtWoz1EoLDWgvQ7l4aJNskF1yMF9toVLpzZKR43hTqJUKLS8huQZ0B45AAACwIK1fUl5cm4+20MEqbaF+gijUntcTKIgt6iudNPYFimLT2YKKRadioYFUPnctalto8LJGkmsLsbh29SnLtXZRr645bUWn70oZWwydyQdnrjVf3LLz83JRM9eq/FyTfuufe5KezdMWCpctvEcn1+Z3oYEknbxiUJK0ZlH73yTpdn5yreA+d/jt5MxKBDqqu97CAwAAaJFgcm2kLxmZ7Gq1UltoOLlWZeZasC00MBMsEY8plYgpmy9qMlvwE0ZSKbkmlc9d6623LTRy5lr5yfFCTCxdtHmJfvLuqzt9NyrYAlbZzLU5JFCikmvZOts//eRaMZyAWXiPA8xOPFaejgoqOE7ZdebDKy5er0X9KT3nlOXz9jm7lX0dyXpbqOfSTg6gdSiuAQCABWnZQFrpREyZfNEfht1upbbQuc1ck9zUWTZf1FQm7w8OT8RMWeElmFyLKh72kFzrWnY+kp2XFPxzc9tC3cdI9LbQKgsN/I2Q5W2hPA5gU2ndklzrSyX0G+evnbfP182S8fKWXZJrQHfgCAQAAAtSLGb89Np8LDOQAm2hFQsNqsxcCxS/hkOzhIJLDSYy7u0N9CRkAhv6ls05uRYqrlVJOKH17M9mOjK51sRCg4htodkqiUmrNFfLJtdoC4UrESq8BnVi5hpKUt7zgy2kMysR6A68cgIAgAVr/otrbkHMzkezqhU5gkWMqOSaJE1m8xqfKV9mYNWbuRYsrkUVWMKJpmoJJ7SeXVpQ3hY6h4UGEdtCq7UjW4lY+UKDrC3ukYA57vmPjS5JrqEkFUqu2ecQiuJAZ3EEAgCABev0NcOSpFNWDs7L5xv0il8T4W2hVRYaBJNr1YprU5lCxaZQa8VQKbnWE5Vcm0VbaDoRK0vFob3szysTLK7l5rDQICK5lvNmMlVr8yy1hZYn10gwIhFadhFk02wximsdUVpoUJ5ci3oNADB/mLkGAAAWrLdedYKedcISnb9h0bx8PrvJczITvdCg5sy1UFton20LzRX8fz/YU/6r2/JBN7kWM9GpheDtR308eH+YszW/wm2hjuMEBpM3n1yLmrlWb6GB3xbqz27iJP14V6stlORaZ5UWGtjiGsk1oBtQXAMAAAtWTzKuizcvmbfP1+8ly8YrimtVZq55RYxUIlbRCtiftsm1vJ8QCSfXNi3t1ykrB7VmpDcydRZMrkW1BiYCbaCcmM2vdGihQa7gyFvC2FRxK6q4lqm30MBPJ3ltoQVmrsFVahmOSq4xc62TkqHNwP4iFI5boKMorgEAALSI3xaayctxHL/gVW3mmt3mOdKbrCiO9XrJtclsQfYjAz3lraOpREz/+3uXV70/ZQsN6raFklaaT+GZazZ9IjWZXItsC7XtyLWTa6W2UPc+kGJEItAyHHwuk4LJNR4nnWCPT9v2bY9b2kKBzuIZEQAAoEVsW6jjuFs+rVyVBNFKbyHB2kW9FbfV7xXeprP5qjPXJMkYU3VW2myKaxRU5le4LTS4iGAuxbVsYRYLDUKD0TMkYOAJtnwWQksNCiTXOipcSGfLL9AdSK4BAAC0SG8yrpiRio6bXrNtov7sq9DJz6mrhvTJV2/ViSsGKm6rL5Bcsyez4Zlr9Qz1JnTZlqUyplSsCwreH4bYz6+eUFuoTbClmlwsEb0t1FtoUOVnm/SSR/bxVWoLJQFzvAsWzvJFR8GHhJ9cY7twR1QsNGBWItAVKK4BAAC0iDFGA+mExmbctNkK73LbvhOVIHruaSsqLpOC20LzynpFkqjkWr378/k3XFT148F0SjpJcW0+2bbQTCi51tNk+iQZWk4gVW9HtkrJtdBCAxIwx73gYyYfSq4xc62zbALazle0i1Cafe4A0BocgQAAAC1kC2ATM6WlBvWKHFH67EKDbMFvC+2fZXGtnrK2UJJr86on3BY6x/RJaaFBZTtytZZfW1y1GyHZOggrWDgrFKq0hTaRsMTchRcakFwDugOvnAAAAC1k565NBDaGVpu5Vku/1xY6lS1oYiYnqbQwoVXK2kIpqMyrUlto+UKDZgtb/sy1fNTMtejHnb/QwCbX8rSFwhVMteaKxbKP2WIsybXOKC00YOYa0E04AgEAAFrIJtfGA8m1fJ3ZV1F6vbbQyWxekxm38DIwy5lr9QSLLhTX5lflzLW5nSD7J9zBtlDvpLva484WUGwRzl6fFmEYY/ziWbWFBsxc64yKhQY5toUC3YBXTgAAgBYa6ElKqpJcm0XhJJhcG6+xLXQuErHS/SH1ML/sfCQ7L8km15o9QS61hVYuNKj2uLPtZfmio3yh6M/SokUYUrBtmJlr3aRioQHJNaArcAQCAAC0kG3dnMxUzlxLzOJktDRzLa+JjNsW2vLkWllbKKmH+WSTidPZ8oUGzZ4gh+cwSaVCW72FBoWiU7ZllOQapEBxLfCYKhYdOY79OI+TTvCP9byjYtEJbPnl5wF0EkcgAABAC/kLDSJnrs1ioUHSbgst+MsRWj5zLdgWSlppXtmEWqZiblIrk2u1Z64lA8WRyWzp8cpjAVJgJl8guVZwSn8mudYZqUAhvbwozhskQCfxygkAANBC/REz12x73mzmmtnbmczm/UJd62euBdpCSSvNq55E+UKDGX9u0hwXGhQqi2tVZ64Fim52rl88ZvyiCo5vpeRaoLgWKLTNJomL1kkGFhpkAtuBe0iuAR3FEQgAANBCpW2hOf+yXJ32vCh9XtvgkamcX5xr+cy1wP0hrTS/elPu93s6F24LbTa5Vr6cwP1z7aJueXEt731+Hgdw2cdHPrAtNJhiI7nWGTZxnAsk1yiKA53HEQgAANBCpZlrpURBtk57XpQ+b6FBsM3PLjlolWBbKEWV+ZUOJdfsxr9mE4SpuHt7wcdL3ZlrgbbQKW/2G48DWPbxUZZcK1Bc67TgQoPMHLcMA2gdjkIAAIAWssm18rbQ2u15UexCA/920wnFWnwyGyy6zKZlFXNnZ67N5IpyHGfOCw3CM9ccxwkUdaNvMx4zMt5DyibXeBzAKiXXSgW1YIotbiiudUJpoUHR3zbc7JZhAK3DqycAAEALlRYauG2hhaIje27azEKD8O22UrCNiOTD/LLbQiW3JTSTm9tJsk1F2oJasCBSq6hrlxpM+G2hnKTDFY/YFmpnrsWMWl7sR2PKFhqQXAO6BkchAABAC4W3hQZnYCVncQKUiMfKUkStXmYglbepkliaX8Hh4zO5QsuTa+WPu+pFEJtOmsoycw3lbOG1UJZcc/8cbCnG/PIXGhRKCw04boHO4ygEAABoIX+hgdcWGtzeOJuZa5LUH0g39bchuZZioUHHJOIxf9viTK7YgoUGpTSL4zjK5UsFkVqJSXsfJjJzm/mGhccm13LFym2hzFvrnFSwLdRLrtEWCnQer54AAAAtVEquucWKXGDAfHKWaY++wAKDwTYU14JFlzQnZ/Ou1/ueT+cK/mKDppNr3s/ScdwCSLCom6hRCLGPAX/mGkVWeOybAYViZVtorccU2ivlJ9cckmtAF+EoBAAAaKHwzLVcoXQyOtsZRX2B5Fp7Zq4F2kIpqsy7dLK0MdQm15pNoATberOFYmmJRiImU2PwvH0MTGaZuYZyfnKtUNkWGp9lChetYwviufzcE68AWoffogAAAFpo0GsLncm5BY5cnY2NtfQFCmrtmLmWYltoR/V4LZhucW1ubZnBx1cu7/iz1+oVTe3sLJtcoy0Ull14UohqC2VTaMfY5+pMoVhKvHLcAh3HUQgAANBCwdlok5m8354323lrUvnMtXYk15JsC+2oHj+5Nvetf4mYka13ZAqFQFG39uPOfnzKa2MmwQgr4SfXSm2hea9FlJlrnWOP2VyhNHON5BrQebx6AgAAtFAyHvMLJOMz+bL2vNkKtoUOtmNbaILkWif1BtpCZ/zZSc2dJBtjygadZxtMTMb9hQY2ucZJOlz2sRGVXGPmWucE5yv6W35JrgEdx1EIAADQYrYQNpnN+1sbm2oLDSw0aEtyLXCCTHFt/pW1hfpb/5r/OdiT7lzB8edk1Xvc2Y9PZRmMjnL2sZFn5lpXCT5Xj3tbqXtIrgEdx6snAABAi/lLDWbyDSeIovSnA22h7Uiu0RbaUX5baL7QksHk9qQ7my82nJi0Cw1sco0iKyybXMtHJtd4nHRK8HnbFtdIrgGdx1EIAADQYrYQNp7JNzz7Kkpvss3JtUSwuEbyYb7Z4tp0tlhaaDCH4lZZca3ZhQYU1+Cxz1l2zpoUWGhAW2jHBOcrjs+4W6k5boHO4ygEAABosf5UKbk2l22hweRaW2auxWkL7aSe4Mw1O5h8DgkU+xjLForK2MddosGFBtm5zXzDwhOPVbaFMnOt84wx/rHuz0rkuAU6jt+iAAAAWswWwiYyc11oEEyuJVtz5wKSgdYutkTOvx7vMeG2hc69uBWVXKtX1LXJtQmSawhJxiqTa7ZFNGYornVSOl5amiPNbVYjgNbgKAQAAGgx28I5mckrO6eFBqVCSzDF1iqxmPGLKX1tuH3U1uv9fGeypZlrrVhokC0UG15oYGeuTTJzDSHRM9fcx2mChQYdlfQ3Utu2UJ6/gU5rfX8BAADAcc6fuTYzt5lrweLaYBuSa5L0J798mg6OZ7R8sKctt4/qSgsNiv620LmcJNsT7lxwoUGD20JtAYXkGqyE99goBLeFFpi51g3s68k4iVOga1BcAwAAaDHbwjmRmevMtUBbaBtmrknSqy7e0JbbRX22LXQ6W9BMCxYapAPJtWyDRd3w7Kx0kgQMXPaxkYvcFkpxrZNSiXBbKMct0GmUuAEAAFpswGuxDC40aGamWW+b20LRWT3ez3d8JifHq1/MpbhlT7hzhWLDRd1we1+a2Xvw2MdGIWLmGsm1zkrGw22hHLdAp3EUAgAAtJiduTaRzSvb4OyrKHbraCoRY6bOAtTj/UxHp3P+ZXM5SbYptUxgoUG9GWqJWPnH57KtFAuLTadFbwvlcdJJ9s2aVmwZBtAaHIUAAAAtNtDjtYXO5EtbG5somtito8O97Zm3hs6yrVytKq4Ft4VmG0xMViTXSMDAkwjN45NKxTWSa50VLpr38OYL0HHMXAMAAGgxP7kWnLnWxMnoySsG9dpnbdTpq4daev/QHXpT7gnyUa+4lkrEZEzzRQubjszNYltoMpRAYlsorFJyrdQWysy17hA+rkmuAZ1HcQ0AAKDFbOJsYmZuCw1iMaMPvPD0lt43dA+/LXQq5/19bifIZck1PzFZZ6FBRXKNBAxctvUzmFyzf45RXOuocCKV4xboPErcAAAALVaeXPMSRHWKHDj+hNtC57qpMx0orjVa1K1IwJBcg8cWXstnrrmPK5JrnRUeM9BDcg3oOI5CAACAFuuPagtlCyNCbCuXTQPNtbBV3hba4My1GMk1RPPbQiOSa8xc6yySa0D34bc8AACAFvPbQjN5vz2vXpEDx5/eUFJtrsU1+xjLBGau1d0WGmfmGqLF/eIaM9e6TSrBIhKg23AUAgAAtJhtCy0UHY3P5CWRXEOlnlBxLfz32YraFlrvcVeZXONxClcyYltoKbnG46STWGgAdB+OQgAAgBbrS8Vllz4enspKoriGSuFiWivbQv2FBvWKa+GFBpykwxNnW2jXCiehe2gLBTqOV08AAIAWM8b46bUjk15xjYUGCKlsC21dcq0066/24y5cfKN9GZZ97BSKwYUGXnKtzuMK7RVeaEBRHOg8jkIAAIA28ItrXnKNogXCwhv+5nqCbJNvuYJTWmhQb+ZauC10jq2pWDhs62euENEWaiiudRILDYDuw295AAAAbVAqruUk0RaKShUz1+Z4gmwfY9l8Udm8U3ZZNeGFBsxcg2ULr+XJNbdoy7bQzgoWzZNxw88D6AK8egIAALTBgLcx9Cgz11BFuJA11+SaPeHOlLWF1r7NYNuoMczSQomdx5cLzFzLM3OtKwSTa6TWgO7Ab3kAAABtYJNrNvRRb/YVjj/GmLLW0LmmxlKBhQaNt4WWf35Dux88kcm1AjPXukEy3rrnDQCtwZEIAADQBoNecs2qV+TA8SnYGjrXBEoyEWwL9YprdYogwW2hJGAQZAuvuWLlzDWSa50VXJATbi8H0Bn8lgcAANAG/any4hptoYgS3BgaXnAwWza5li001xZKAgZBcX9baKkt1N8WGuOx0kkpkmtA10nUvwoAAABma6CH4hrqa2VyLZUozciyGx7rPe6CRRLSlQhKeo+NfGBbaMEhudYNgscqxy3QHSiuAQAAtMFgOlxc42QUlYKpk7nPXHOLc9l80W/fq5tci5FcQzS7gTIfNXON4lpHBZNrtIUC3YHiGgAAQBuEk2spkmuI0JsKJNdatC00my/6CaNUot7MNbYOIloyXrnQIF+kuNYNWGgAdB+KawAAAG0wkE6W/T3JCRAi9CSCM9fmuNDAK4ZkC0UVG0yuBRca0F6GIFtAs/P7pNL8NdpCOyv4epImuQZ0BYprAAAAbdCfLj/hYeYaogSXGMy5LTSQXLNho3oFs2SMBAyi2ecskmvdp6wtlOMW6AoU1wAAANpgsGKhASejqNTKhQa2OJYrFP2CyGySayRgEFRKrgVmrhVZaNANgu3eHLdAd6C4BgAA0AbhtlBmriFKb1lxbW6PEVtIK0uu1VtoEGwL5TGKgNLMtVJbaCm5xmOlk+zyEonEKdAtKK4BAAC0wUDFtlBOgFApmDqZ68w1vy20UJS3z6B+ci3YFjrHhQpYWGwBLU9yresEi+IU14DuQHENAACgDSraQjkBQoSWzlyL27bQUjGkXjtycHYWJ+kIsgW0fLGyuMbMtc4KzlKca1EeQGvwCgoAANAGlck1TkZRqawtdI7JsagCbr2ibjDZNteZb1hY7Dy+fDG4LZTiWjcoP245pQe6AUciAABAG/SHimvMs0KUVi40iHqM1XvcJWgvQxW2ZThfti3ULbRRXOusYHKNojjQHXgFBQAAaINUIlZ2ApSguIYIwbbQnjkm16IKafVmriVjJGAQzbaFOk4pscbMte4QPNbn+rwBoDU4EgEAANpkMJBeoy0UUXpbmFyLxUxZ0SMeM3UTRiTXUE3wsWETa3naQrtCMkFRHOg2HIkAAABtMhBYahBMCAFWuqy4NvfHSDAt2UhBN1hASXGSjoDgJlm7MdRPrvFmQUcFk2tpFhoAXYFXUAAAgDaxSw0SMaMYSQ9EaOXMNam8DbReS6gUbgvlJB0l5ck1t6hmi2xx3izoKNpCge7DkQgAANAmdqlBI0UOHJ9auS1UKk+fNbJEo6wtlJN0BMRNoLhWcNtCiw4z17pBMhFs56YoDnQDXkEBAADaZNAvrnEiimjB1ElL2kJnm1yLz64Yh+NHLGZka2i2HdQm2GKG57ROKmsLpZ0b6AociQAAAG1iZ64xywrV2LbQVCIm04KCRVlyrYHHXXAwPck1hNktx7nwtlDeMOioeMzIPl30MHMN6Aq8ggIAALTJAG2hqKPHa+nqaVEBtjy51sBCgxjtZajOPj4KBZtcc9tD2RbaWcYY/1gnuQZ0B45EAACANrHJNYprqGbd4l71JGPasnygJbdXvi20/uPOGOMXUGgLRZh9bOS8opotsjFzrfNKxTWK4kA3SNS/CgAAAJoxkGLmGmob6UvpJ+++2k85zlXwsdZoO3IibpQvOrSFooJtCw3PXCO51nmLB1Iaz+S1eCDV6bsCQBTXAAAA2obkGhqxdCDdstuabXJNkpKxmGZUJAGDCjahli+EZq7FeE7rtH9++bnac3RGa0Z6O31XAIjiGgAAQNvYNBILDTBfUoECWaOJSTucntlNCPOLa15bKMm17nHW2hGdtbbT9wKAxSsoAABAmyzx2nVa1fIH1JMqawttLIm2YqhHxkjLh1qXoMPCYNtCbVGtSHENACLxmx4AAECbXH7iMr3rmpN05cnLOn1XcJwIpiRTDSbXbnj1Vu0bm9GqYdrLUC7cFpovstAAAKJQXAMAAGiTZDymdzznxE7fDRxHgnPWGp25tm5xn9Yt7mvXXcIxzLYM27bQAsk1AIhEWygAAACwQKSaKK4B1cS9xQWl5JpbZCO5BgDleMUFAAAAFohmtoUC1dilGIWio2LRkRdcI7kGACG84gIAAAALRLCglkpQAMHc2CJarlBUwXH8yxMxTiMBIIhnRQAAAGCBSJNcQwslvSJaoej489YkKd7gsgwAOF7wigsAAAAsEOXbQvlVH3PjJ9eKjr8pVGLmGgCE8YoLAAAALBBl20IT/KqPuUn4M9eKZcm1mKG4BgBBbXvFNcZsNMb8mzFmuzFm2hjzpDHmz40xqdD11htjvmmMmTTGHDTG/FPEdc40xtzk3c7Txpj3G1P+jG6MudIYc48xZsYYs80Y8+Z2fW0AAABAN2KhAVop4c9cK28LJbkGAOUSbbztU+QW794k6QlJZ0i6QVK/pD+QJGNMXNL/SDog6TJJSyR9VpKR9A7vOkOSvi/pR5IukHSSpM9ImpT09951Nkn6tnf7r5R0qaTrjTEHHMf5ahu/RgAAAKBrBFtBU8zFwhwl4qWZa/liUZJkjBSjuAYAZdpWXHMc5zuSvhO4aJsx5mRJb5FXXJN0raTTJK1zHGePJBlj3iXpM8aY9zmOMybpFZJ6JL3WcZyMpIeNMSdJ+n1jzIcdx3EkvVnSLsdx3und7qPGmK3e56G4BgAAgONCkuQaWsgm1PKFUlsoqTUAqDTfr7jDkg4H/n6JpIdtYc3zXUlpSecHrnOTV1gLXme1pI2B63wv9Lm+K2mrMSYZdUeMMWljzJD9T9JgE18PAAAA0DXScYpraB270CBfdJQvOGWXAQBK5u0V1xhzgtxWz48FLl4paV/weo7jHJGU9T4WeZ3A3+tdJyFpaZW79B5Jo4H/djfydQAAAADdqmzmGgsNMEe2QJsPzFxLxHhcAUDYrJ8ZjTEfMMY4df7bGvo3q+W2iH7FcZxPhm7SUSUTujx8HRNxeSPXCforuUk6+9/aKtcDAAAAjgnBtFqa5BrmqCy5ViS5BgDVNDNz7V8kfanOdXbYP3iFtR9Jul3S74Sut1fSRcELjDGLJCVVSqLtVSmhZi33/l/vOnlJh6LuoNdm6reaGtZJAwAA4BhXnlzj91vMTTJemrlWdCiuAUA1sy6uOY5zUNLBRq5rjFkjt7B2j6TXOY5TDF3ldknvM8aschznGe+ya+UWve4JXOeDxpiU4zjZwHX2qFTEu13Sr4Ru+1pJdzuOk2voCwMAAACOccnAhlBmrmGumLkGAI1p2yuul1j7saSn5G7tXGaMWWmMCSbMvifpEUmfM8aca4x5jqQPSbrB2xQqSV+QW2z7jDHmDGPMiyW9V5LdFCq5c9w2GGM+bIw51Rjzekm/7d0WAAAAcFxIsS0ULWTnq+WLbAsFgFqaaQtt1LWStnj/hZcFGElyHKdgjPklSddLulXStNxi2h/YKzqOM2qMuUbSv0q6W9IRSR/2/rPX2W6MuU7SP0h6m9xU2+86jvPV9nxpAAAAQPdJB4prKYprmKNE2cw1twmJ5BoAVGpbcc1xnM9I+kwD19sl6ZfrXOchSVfUuc5Nks5r/B4CAAAAC0swrUZyDXOV8B5DhbJtoRTXACCMV1wAAABggQi2hQb/DDQjwbZQAGgIr7gAAADAApEqS65RBMHcJOy20LKZa5xCAkAYz4wAAADAAkFbKFrJT64VSK4BQC284gIAAAALRJq2ULSQnbmWLzoqUlwDgKp4xQUAAAAWiGBBjeQa5qqUXCuSXAOAGnjFBQAAABaIJDPX0ELBhQaFYrHsMgBACcU1AAAAYIEo2xZKcg1zFLdtocxcA4CaEp2+AwAAAABaIxEzOmnFgMZn8hrpS3X67uAY5XJPuAAAEbFJREFUlyxLrnnbQklEAkAFimsAAADAAmGM0TffcZmKRRYaYO7ifnGtqHzBJtd4XAFAGMU1AAAAYAFJJ+KdvgtYIOwMv0IwuUZbKABU4G0HAAAAAEAFm1zLFYoqOG5xLWYorgFAGMU1AAAAAEAFu3G2UCwtNCC5BgCVKK4BAAAAACrY+Wq5gqNCoehexkIDAKhAcQ0AAAAAUMGm1EiuAUBtFNcAAAAAABUS8cDMtaLdFkpxDQDCKK4BAAAAACrESa4BQEMorgEAAAAAKiTj7ulivugEkmucQgJAGM+MAAAAAIAKNrmWLxb95FqcM0gAqMBTIwAAAACgQtJLqRUKjop+WyinkAAQxjMjAAAAAKCCTa7lAjPXWGgAAJUorgEAAAAAKiTjpYUGhWJREgsNACAKxTUAAAAAQAU/uVYoklwDgBoorgEAAAAAKthtoYXAtlCSawBQieIaAAAAAKCCvy20EJy5xikkAITxzAgAAAAAqJDwZq7li0UVCk7ZZQCAEoprAAAAAIAKCS+lVnTcuWuSFDMU1wAgjOIaAAAAAKBCMKWWKbAtFACqobgGAAAAAKgQLKRlcgVJbAsFgCgU1wAAAAAAFRKB5QWZvJdcY+YaAFSguAYAAAAAqBBMrs2QXAOAqiiuAQAAAAAqxGJGtpbmJ9corgFABYprAAAAAIBItjW0lFzjFBIAwnhmBAAAAABEsjPWbHItzhkkAFTgqREAAAAAEMnOWMvkbHGNU0gACOOZEQAAAAAQyc5Yy+QLZX8HAJRQXAMAAAAARErE7cw1m1yjuAYAYRTXAAAAAACRSK4BQH0U1wAAAAAAkexCg6Lj/p3kGgBUorgGAAAAAIiUCC0wCP8dAEBxDQAAAABQRbgNlNoaAFTiqREAAAAAECncBkpyDQAq8cwIAAAAAIiUjJefMjJzDQAqUVwDAAAAAESqTK5RXAOAMIprAAAAAIBIyXh5MY3kGgBUorgGAAAAAIhUkVyLU1wDgDCKawAAAACASOGZa7SFAkAlimsAAAAAgEjh5FqcbaEAUIFnRgAAAABApESomBY3JNcAIIziGgAAAAAgUrgNNM7MNQCoQHENAAAAABApvMCAmWsAUIniGgAAAAAgUkVyjeIaAFSguAYAAAAAiJRgWygA1EVxDQAAAAAQieQaANRHcQ0AAAAAEClcTAtvDwUAUFwDAAAAAFSRDLWFUlsDgEo8NQIAAAAAIpFcA4D6eGYEAAAAAERKxMuLa4xcA4BKFNcAAAAAAJGCCw0SMSNjqK4BQBjFNQAAAABApGAbKJtCASAaxTUAAAAAQKRwcg0AUIniGgAAAAAgUiJOcg0A6qG4BgAAAACIFEyrUVwDgGgU1wAAAAAAkYLbQuMxTh8BIArPjgAAAACASMxcA4D6KK4BAAAAACIxcw0A6qO4BgAAAACIFCyoBVtEAQAlFNcAAAAAAJGScRYaAEA9FNcAAAAAAJGCSwyYuQYA0SiuAQAAAAAiJWNsCwWAenh2BAAAAABEipcV1zp4RwCgi/H0CAAAAACIlCzbFsrpIwBE4dkRAAAAABCpbFsoM9cAIBLFNQAAAABApATbQgGgLoprAAAAAIBICbaFAkBdFNcAAAAAAJHKFxpQXAOAKBTXAAAAAACRknFmrgFAPRTXAAAAAACRSK4BQH0U1wAAAAAAkZLx0ikjxTUAiEZxDQAAAAAQKVhQCy43AACU8OwIAAAAAIiUjJFcA4B6KK4BAAAAACLFWWgAAHVRXAMAAAAAREqy0AAA6qK4BgAAAACIVDZzLU5xDQCiUFwDAAAAAERKsC0UAOqiuAYAAAAAiBScsxY3FNcAIArFNQAAAABApGAraDzG6SMAROHZEQAAAAAQKREoqDFzDQCiUVwDAAAAAESKx4xsNygz1wAgGsU1AAAAAEBVdu5aguIaAESiuAYAAAAAqMq2hpJcA4BoFNcAAAAAAFWRXAOA2iiuAQAAAACqsosMYhTXACASxTUAAAAAQFVxry2U5BoARKO4BgAAAACoKukl12yRDQBQjmdHAAAAAEBVcWauAUBNFNcAAAAAAFXZohrbQgEgGsU1AAAAAEBViTgz1wCgFoprAAAAAICqSK4BQG0U1wAAAAAAVSXiFNcAoBaKawAAAACAquyWUIprABCN4hoAAAAAoKq0N3MtGef0EQCiJDp9BwAAAAAA3esVF69XOhnTJZuXdPquAEBXMo7jdPo+dAVjzJCk0dHRUQ0NDXX67gAAAAAAAKBDxsbGNDw8LEnDjuOM1bouuV4AAAAAAACgSRTXAAAAAAAAgCZRXAMAAAAAAACaRHENAAAAAAAAaBLFNQAAAAAAAKBJFNcAAAAAAACAJlFcAwAAAAAAAJpEcQ0AAAAAAABoEsU1AAAAAAAAoEkU1wAAAAAAAIAmUVwDAAAAAAAAmkRxDQAAAAAAAGg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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekly[['abductions_delta','zero']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>12</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tamakoshi Janajagrit Higher Secondary School a...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>400</td>\n",
       "      <td>2005-09-20</td>\n",
       "      <td>Dandeldhura, Kalikot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dadeldhura district's Gaura village; Raskot vi...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>80</td>\n",
       "      <td>2005-09-20</td>\n",
       "      <td>Doti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>24</td>\n",
       "      <td>2005-09-20</td>\n",
       "      <td>Dolakha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>36</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Morang</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kerabari village of Morang district</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>5</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Kailali</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Godavari in Kailali district</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>60</td>\n",
       "      <td>2005-09-21</td>\n",
       "      <td>Dolpa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saraswati Secondary School in Dolpa district</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>2000</td>\n",
       "      <td>2005-09-21</td>\n",
       "      <td>Achham</td>\n",
       "      <td>NaN</td>\n",
       "      <td>abducted students and teachers of 30 schools l...</td>\n",
       "      <td>3</td>\n",
       "      <td>over the past week. Estimates range 750-2000</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>1000</td>\n",
       "      <td>2005-09-21</td>\n",
       "      <td>Baitadi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>from almost all the schools of Baitadi distric...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>24</td>\n",
       "      <td>2005-09-23</td>\n",
       "      <td>Pyuthan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>estimates 18 &amp; 24</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>109</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Okhaldunga</td>\n",
       "      <td>NaN</td>\n",
       "      <td>four schools in Okhaldunga district</td>\n",
       "      <td>3</td>\n",
       "      <td>Another article puts the estimate at 94</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>230</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Achham</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Himchadhari village and surrounding areas in A...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>200</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Doti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gaira village in the neighboring Doti district...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>350</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Baitadi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>estimates 300 &amp; 350</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Doti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gairagaun village</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>30</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Doti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ladagada area</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>100</td>\n",
       "      <td>2005-09-25</td>\n",
       "      <td>Morang</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tandi area of Morang district</td>\n",
       "      <td>3</td>\n",
       "      <td>date unclear</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>6</td>\n",
       "      <td>2005-09-23</td>\n",
       "      <td>Khotang</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lichki Ramche village in Khotang</td>\n",
       "      <td>3</td>\n",
       "      <td>\"two weeks ago\" reported on 7 October</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE          DISTRICTNAME VDCMCP  \\\n",
       "247            12  2005-09-19             Ramechhap    NaN   \n",
       "248           400  2005-09-20  Dandeldhura, Kalikot    NaN   \n",
       "249            80  2005-09-20                  Doti    NaN   \n",
       "250            24  2005-09-20               Dolakha    NaN   \n",
       "251            36  2005-09-19                Morang    NaN   \n",
       "252             5  2005-09-19               Kailali    NaN   \n",
       "253            60  2005-09-21                 Dolpa    NaN   \n",
       "254          2000  2005-09-21                Achham    NaN   \n",
       "255          1000  2005-09-21               Baitadi    NaN   \n",
       "256            24  2005-09-23               Pyuthan    NaN   \n",
       "257           109  2005-09-25            Okhaldunga    NaN   \n",
       "259           230  2005-09-25                Achham    NaN   \n",
       "260           200  2005-09-25                  Doti    NaN   \n",
       "261           350  2005-09-25               Baitadi    NaN   \n",
       "262            10  2005-09-25                  Doti    NaN   \n",
       "263            30  2005-09-25                  Doti    NaN   \n",
       "264           100  2005-09-25                Morang    NaN   \n",
       "269             6  2005-09-23               Khotang    NaN   \n",
       "\n",
       "                                              Location  Batch  \\\n",
       "247  Tamakoshi Janajagrit Higher Secondary School a...      3   \n",
       "248  Dadeldhura district's Gaura village; Raskot vi...      3   \n",
       "249                                                NaN      3   \n",
       "250                                                NaN      3   \n",
       "251                Kerabari village of Morang district      3   \n",
       "252                       Godavari in Kailali district      3   \n",
       "253       Saraswati Secondary School in Dolpa district      3   \n",
       "254  abducted students and teachers of 30 schools l...      3   \n",
       "255  from almost all the schools of Baitadi distric...      3   \n",
       "256                                                NaN      3   \n",
       "257                four schools in Okhaldunga district      3   \n",
       "259  Himchadhari village and surrounding areas in A...      3   \n",
       "260  Gaira village in the neighboring Doti district...      3   \n",
       "261                                                NaN      3   \n",
       "262                                  Gairagaun village      3   \n",
       "263                                      Ladagada area      3   \n",
       "264                      Tandi area of Morang district      3   \n",
       "269                   Lichki Ramche village in Khotang      3   \n",
       "\n",
       "                                     Observations Coder   year  month  week  \\\n",
       "247                                           NaN     KE  2005      9    38   \n",
       "248                                           NaN     KE  2005      9    38   \n",
       "249                                           NaN     KE  2005      9    38   \n",
       "250                                           NaN     KE  2005      9    38   \n",
       "251                                           NaN     KE  2005      9    38   \n",
       "252                                           NaN     KE  2005      9    38   \n",
       "253                                           NaN     KE  2005      9    38   \n",
       "254  over the past week. Estimates range 750-2000     KE  2005      9    38   \n",
       "255                                           NaN     KE  2005      9    38   \n",
       "256                             estimates 18 & 24     KE  2005      9    38   \n",
       "257       Another article puts the estimate at 94     KE  2005      9    38   \n",
       "259                                           NaN     KE  2005      9    38   \n",
       "260                                           NaN     KE  2005      9    38   \n",
       "261                           estimates 300 & 350     KE  2005      9    38   \n",
       "262                                           NaN     KE  2005      9    38   \n",
       "263                                           NaN     KE  2005      9    38   \n",
       "264                                  date unclear     KE  2005      9    38   \n",
       "269         \"two weeks ago\" reported on 7 October     KE  2005      9    38   \n",
       "\n",
       "     weekid  monthid  \n",
       "247     197       45  \n",
       "248     197       45  \n",
       "249     197       45  \n",
       "250     197       45  \n",
       "251     197       45  \n",
       "252     197       45  \n",
       "253     197       45  \n",
       "254     197       45  \n",
       "255     197       45  \n",
       "256     197       45  \n",
       "257     197       45  \n",
       "259     197       45  \n",
       "260     197       45  \n",
       "261     197       45  \n",
       "262     197       45  \n",
       "263     197       45  \n",
       "264     197       45  \n",
       "269     197       45  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weeks = list(weekly.sort_values(by='abductions_delta').head(1).weekid)\n",
    "media[media['weekid'].isin(weeks)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>13</td>\n",
       "      <td>2005-09-05</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>124</td>\n",
       "      <td>2005-09-06</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>Bhanudaya U.MaVi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>93</td>\n",
       "      <td>2005-09-06</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bajura</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>31</td>\n",
       "      <td>2005-09-06</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Female</td>\n",
       "      <td>Bajura</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>20</td>\n",
       "      <td>2005-09-06</td>\n",
       "      <td>No Name</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>17</td>\n",
       "      <td>2005-09-08</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dadeldhura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>2000</td>\n",
       "      <td>2005-09-08</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-09-08</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>190</td>\n",
       "      <td>2005-09-09</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dadeldhura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>17</td>\n",
       "      <td>2005-09-10</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>100</td>\n",
       "      <td>2005-09-10</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Myagdi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>36</td>\n",
       "      <td>2005-09-10</td>\n",
       "      <td>Unidentified teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>60</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dolpa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>32</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>17</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Serna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>8</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>5</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Manebhanjyang</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>12</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Manebhanjyang</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>11</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>9</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Serna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>9</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified Teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>7</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified Teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>6</td>\n",
       "      <td>2005-09-11</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>36</td>\n",
       "      <td>195</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>20</td>\n",
       "      <td>2005-09-13</td>\n",
       "      <td>Unidentified teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>Tilpung</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-09-14</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>25</td>\n",
       "      <td>2005-09-15</td>\n",
       "      <td>Unidentified teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>24</td>\n",
       "      <td>2005-09-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-09-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>12</td>\n",
       "      <td>2005-09-18</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>Gudukhati</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>8</td>\n",
       "      <td>2005-09-18</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bajura</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>37</td>\n",
       "      <td>196</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>9</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saptari</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>50</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Unidentified Teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>Khimti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>27</td>\n",
       "      <td>2005-09-19</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>700</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Rukum</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>15</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Betini</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>15</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>12</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified Teachers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>8</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Betini</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>200</td>\n",
       "      <td>2005-09-22</td>\n",
       "      <td>Unidentified Teachers Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Katunje</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>12</td>\n",
       "      <td>2005-09-23</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Surkhet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>106</td>\n",
       "      <td>2005-09-24</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Jajarkot</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>9</td>\n",
       "      <td>38</td>\n",
       "      <td>197</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE                     VICTIMSNAME  AGE  GENDER  \\\n",
       "384            13  2005-09-05                    Unidentified  NaN     NaN   \n",
       "385           124  2005-09-06           Unidentified Students  NaN     NaN   \n",
       "386            93  2005-09-06                    Unidentified  NaN    Male   \n",
       "387            31  2005-09-06                    Unidentified  NaN  Female   \n",
       "388            20  2005-09-06                         No Name  NaN     NaN   \n",
       "389            17  2005-09-08                    Unidentified  NaN     NaN   \n",
       "390          2000  2005-09-08                    Unidentified  NaN     NaN   \n",
       "391            10  2005-09-08                    Unidentified  NaN     NaN   \n",
       "392           190  2005-09-09                    Unidentified  NaN     NaN   \n",
       "393            17  2005-09-10                    Unidentified  NaN     NaN   \n",
       "394           100  2005-09-10           Unidentified Students  NaN     NaN   \n",
       "395            36  2005-09-10           Unidentified teachers  NaN     NaN   \n",
       "396            60  2005-09-11                    Unidentified  NaN     NaN   \n",
       "397            32  2005-09-11                    Unidentified  NaN     NaN   \n",
       "398            17  2005-09-11                    Unidentified  NaN     NaN   \n",
       "399            10  2005-09-11           Unidentified Students  NaN     NaN   \n",
       "400             8  2005-09-11           Unidentified Students  NaN     NaN   \n",
       "401             5  2005-09-11                    Unidentified  NaN     NaN   \n",
       "402            12  2005-09-11                    Unidentified  NaN     NaN   \n",
       "403            11  2005-09-11                    Unidentified  NaN     NaN   \n",
       "404             9  2005-09-11                    Unidentified  NaN     NaN   \n",
       "405             9  2005-09-11           Unidentified Teachers  NaN     NaN   \n",
       "406             7  2005-09-11           Unidentified Teachers  NaN     NaN   \n",
       "407             6  2005-09-11                    Unidentified  NaN     NaN   \n",
       "408            20  2005-09-13           Unidentified teachers  NaN     NaN   \n",
       "409            10  2005-09-14                    Unidentified  NaN     NaN   \n",
       "410            25  2005-09-15           Unidentified teachers  NaN     NaN   \n",
       "411            24  2005-09-17                    Unidentified  NaN     NaN   \n",
       "412            10  2005-09-17                    Unidentified  NaN     NaN   \n",
       "413            12  2005-09-18           Unidentified Students  NaN     NaN   \n",
       "414             8  2005-09-18                    Unidentified  NaN    Male   \n",
       "415             9  2005-09-19                    Unidentified  NaN     NaN   \n",
       "416            50  2005-09-19           Unidentified Teachers  NaN     NaN   \n",
       "417            27  2005-09-19           Unidentified Students  NaN     NaN   \n",
       "418           700  2005-09-22                    Unidentified  NaN     NaN   \n",
       "419            15  2005-09-22                    Unidentified  NaN     NaN   \n",
       "420            15  2005-09-22                    Unidentified  NaN     NaN   \n",
       "421            12  2005-09-22           Unidentified Teachers  NaN     NaN   \n",
       "422             8  2005-09-22                    Unidentified  NaN     NaN   \n",
       "423           200  2005-09-22  Unidentified Teachers Students  NaN     NaN   \n",
       "424            12  2005-09-23                    Unidentified  NaN    Male   \n",
       "425           106  2005-09-24                    Unidentified  NaN    Male   \n",
       "\n",
       "    DISTRICTNAME            VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION  \\\n",
       "384       Bajura               NaN     NaN           0               Student   \n",
       "385       Bajura  Bhanudaya U.MaVi     NaN           0               Student   \n",
       "386       Bajura                       NaN           0               Student   \n",
       "387       Bajura                       NaN           0               Student   \n",
       "388    Taplejung               NaN     NaN           0           Unavailable   \n",
       "389   Dadeldhura               NaN     NaN           0               Student   \n",
       "390    Taplejung               NaN     NaN           0           Unavailable   \n",
       "391       Bajura               NaN     NaN           0           Unavailable   \n",
       "392   Dadeldhura               NaN     NaN           0               Student   \n",
       "393       Bajura               NaN     NaN           0               Student   \n",
       "394       Myagdi               NaN     NaN           0           Unavailable   \n",
       "395     Sindhuli               NaN     NaN           0           Unavailable   \n",
       "396        Dolpa               NaN     NaN           0               Student   \n",
       "397  Okhaldhunga                       NaN           0               Student   \n",
       "398  Okhaldhunga             Serna     NaN           0               Student   \n",
       "399  Okhaldhunga                       NaN           0               Student   \n",
       "400  Okhaldhunga                       NaN           0               Student   \n",
       "401  Okhaldhunga     Manebhanjyang     NaN           0               Student   \n",
       "402  Okhaldhunga     Manebhanjyang     NaN           0               Teacher   \n",
       "403  Okhaldhunga                       NaN           0               Teacher   \n",
       "404  Okhaldhunga             Serna     NaN           0               Teacher   \n",
       "405  Okhaldhunga                       NaN           0               Teacher   \n",
       "406  Okhaldhunga                       NaN           0               Teacher   \n",
       "407       Bajura                       NaN           0               Teacher   \n",
       "408    Ramechhap           Tilpung     NaN           0           Unavailable   \n",
       "409       Bajura               NaN     NaN           0           Unavailable   \n",
       "410     Sindhuli               NaN     NaN           0           Unavailable   \n",
       "411       Bajura                       NaN           0               Student   \n",
       "412       Bajura               NaN     NaN           0           Unavailable   \n",
       "413       Bajura         Gudukhati     NaN           0               Student   \n",
       "414       Bajura               NaN     NaN           0               Student   \n",
       "415      Saptari               NaN     NaN           0               Student   \n",
       "416    Ramechhap            Khimti     NaN           0           Unavailable   \n",
       "417     Sindhuli               NaN     NaN           0           Unavailable   \n",
       "418        Rukum               NaN     NaN           0               Student   \n",
       "419  Okhaldhunga            Betini     NaN           0               Student   \n",
       "420  Okhaldhunga                       NaN           0               Student   \n",
       "421  Okhaldhunga                       NaN           0               Teacher   \n",
       "422  Okhaldhunga            Betini     NaN           0               Teacher   \n",
       "423  Okhaldhunga           Katunje     NaN           0           Unavailable   \n",
       "424      Surkhet               NaN     NaN           0               Teacher   \n",
       "425     Jajarkot               NaN     NaN           0               Teacher   \n",
       "\n",
       "    DESIGNATION  KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "384         NaN  By Non-State         Maoists               Abduction   \n",
       "385         NaN  By Non-State         Maoists               Abduction   \n",
       "386         NaN  By Non-State         Maoists               Abduction   \n",
       "387         NaN  By Non-State         Maoists               Abduction   \n",
       "388         NaN  By Non-State         Maoists               Abduction   \n",
       "389         NaN  By Non-State         Maoists               Abduction   \n",
       "390         NaN  By Non-State         Maoists               Abduction   \n",
       "391         NaN  By Non-State         Maoists               Abduction   \n",
       "392         NaN  By Non-State         Maoists               Abduction   \n",
       "393         NaN  By Non-State         Maoists               Abduction   \n",
       "394         NaN  By Non-State         Maoists               Abduction   \n",
       "395         NaN  By Non-State         Maoists               Abduction   \n",
       "396         NaN  By Non-State         Maoists               Abduction   \n",
       "397         NaN  By Non-State         Maoists               Abduction   \n",
       "398         NaN  By Non-State         Maoists               Abduction   \n",
       "399         NaN  By Non-State         Maoists               Abduction   \n",
       "400         NaN  By Non-State         Maoists               Abduction   \n",
       "401         NaN  By Non-State         Maoists               Abduction   \n",
       "402         NaN  By Non-State         Maoists               Abduction   \n",
       "403         NaN  By Non-State         Maoists               Abduction   \n",
       "404         NaN  By Non-State         Maoists               Abduction   \n",
       "405         NaN  By Non-State         Maoists               Abduction   \n",
       "406         NaN  By Non-State         Maoists               Abduction   \n",
       "407         NaN  By Non-State         Maoists               Abduction   \n",
       "408         NaN  By Non-State         Maoists               Abduction   \n",
       "409         NaN  By Non-State         Maoists               Abduction   \n",
       "410         NaN  By Non-State         Maoists               Abduction   \n",
       "411         NaN  By Non-State         Maoists               Abduction   \n",
       "412         NaN  By Non-State         Maoists               Abduction   \n",
       "413         NaN  By Non-State         Maoists               Abduction   \n",
       "414         NaN  By Non-State         Maoists               Abduction   \n",
       "415         NaN  By Non-State         Maoists               Abduction   \n",
       "416         NaN  By Non-State         Maoists               Abduction   \n",
       "417         NaN  By Non-State         Maoists               Abduction   \n",
       "418         NaN  By Non-State         Maoists               Abduction   \n",
       "419         NaN  By Non-State         Maoists               Abduction   \n",
       "420         NaN  By Non-State         Maoists               Abduction   \n",
       "421         NaN  By Non-State         Maoists               Abduction   \n",
       "422         NaN  By Non-State         Maoists               Abduction   \n",
       "423         NaN  By Non-State         Maoists               Abduction   \n",
       "424     Teacher  By Non-State         Maoists               Abduction   \n",
       "425         NaN  By Non-State         Maoists               Abduction   \n",
       "\n",
       "    VICTIMSTATUSSUBDESCRIPTION  year  month  week  weekid  monthid  \n",
       "384                  Abduction  2005      9    36     195       45  \n",
       "385                  Abduction  2005      9    36     195       45  \n",
       "386                  Abduction  2005      9    36     195       45  \n",
       "387                  Abduction  2005      9    36     195       45  \n",
       "388                  Abduction  2005      9    36     195       45  \n",
       "389                  Abduction  2005      9    36     195       45  \n",
       "390                  Abduction  2005      9    36     195       45  \n",
       "391                  Abduction  2005      9    36     195       45  \n",
       "392                  Abduction  2005      9    36     195       45  \n",
       "393                  Abduction  2005      9    36     195       45  \n",
       "394                  Abduction  2005      9    36     195       45  \n",
       "395                  Abduction  2005      9    36     195       45  \n",
       "396                  Abduction  2005      9    36     195       45  \n",
       "397                  Abduction  2005      9    36     195       45  \n",
       "398                  Abduction  2005      9    36     195       45  \n",
       "399                  Abduction  2005      9    36     195       45  \n",
       "400                  Abduction  2005      9    36     195       45  \n",
       "401                  Abduction  2005      9    36     195       45  \n",
       "402                  Abduction  2005      9    36     195       45  \n",
       "403                  Abduction  2005      9    36     195       45  \n",
       "404                  Abduction  2005      9    36     195       45  \n",
       "405                  Abduction  2005      9    36     195       45  \n",
       "406                  Abduction  2005      9    36     195       45  \n",
       "407                  Abduction  2005      9    36     195       45  \n",
       "408                  Abduction  2005      9    37     196       45  \n",
       "409                  Abduction  2005      9    37     196       45  \n",
       "410                  Abduction  2005      9    37     196       45  \n",
       "411                  Abduction  2005      9    37     196       45  \n",
       "412                  Abduction  2005      9    37     196       45  \n",
       "413                  Abduction  2005      9    37     196       45  \n",
       "414                  Abduction  2005      9    37     196       45  \n",
       "415                  Abduction  2005      9    38     197       45  \n",
       "416                  Abduction  2005      9    38     197       45  \n",
       "417                  Abduction  2005      9    38     197       45  \n",
       "418                  Abduction  2005      9    38     197       45  \n",
       "419                  Abduction  2005      9    38     197       45  \n",
       "420                  Abduction  2005      9    38     197       45  \n",
       "421                  Abduction  2005      9    38     197       45  \n",
       "422                  Abduction  2005      9    38     197       45  \n",
       "423                  Abduction  2005      9    38     197       45  \n",
       "424                  Abduction  2005      9    38     197       45  \n",
       "425                  Abduction  2005      9    38     197       45  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo[ngo['weekid'].isin([195,196,197])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
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       "      <th>log_abductions_delta</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>1154</td>\n",
       "      <td>11</td>\n",
       "      <td>4676</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>-3522</td>\n",
       "      <td>-7</td>\n",
       "      <td>-0.607385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>160</td>\n",
       "      <td>361</td>\n",
       "      <td>5</td>\n",
       "      <td>2557</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>-2196</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.849192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>121</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>1873</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>-1820</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1.540376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>163</td>\n",
       "      <td>1183</td>\n",
       "      <td>14</td>\n",
       "      <td>3000</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>-1817</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.403914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>222</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>1811</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>-1776</td>\n",
       "      <td>0</td>\n",
       "      <td>-1.701856</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>166</td>\n",
       "      <td>1357</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1357</td>\n",
       "      <td>4</td>\n",
       "      <td>3.132900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>248</td>\n",
       "      <td>1497</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1485</td>\n",
       "      <td>2</td>\n",
       "      <td>2.061568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>195</td>\n",
       "      <td>2837</td>\n",
       "      <td>24</td>\n",
       "      <td>150</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2687</td>\n",
       "      <td>22</td>\n",
       "      <td>1.274035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>167</td>\n",
       "      <td>7373</td>\n",
       "      <td>3</td>\n",
       "      <td>350</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7023</td>\n",
       "      <td>2</td>\n",
       "      <td>1.322396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>215</td>\n",
       "      <td>11186</td>\n",
       "      <td>6</td>\n",
       "      <td>135</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>11051</td>\n",
       "      <td>3</td>\n",
       "      <td>1.915175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>263 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekid  ngo_abductions  ngo_events  media_abductions  media_events  zero  \\\n",
       "196     197            1154          11              4676            18     0   \n",
       "159     160             361           5              2557             4     0   \n",
       "120     121              53           2              1873             4     0   \n",
       "162     163            1183          14              3000            12     0   \n",
       "221     222              35           3              1811             3     0   \n",
       "..      ...             ...         ...               ...           ...   ...   \n",
       "165     166            1357           4                 0             0     0   \n",
       "247     248            1497           4                12             2     0   \n",
       "194     195            2837          24               150             2     0   \n",
       "166     167            7373           3               350             1     0   \n",
       "214     215           11186           6               135             3     0   \n",
       "\n",
       "     abductions_delta  events_delta  log_abductions_delta  \n",
       "196             -3522            -7             -0.607385  \n",
       "159             -2196             1             -0.849192  \n",
       "120             -1820            -2             -1.540376  \n",
       "162             -1817             2             -0.403914  \n",
       "221             -1776             0             -1.701856  \n",
       "..                ...           ...                   ...  \n",
       "165              1357             4              3.132900  \n",
       "247              1485             2              2.061568  \n",
       "194              2687            22              1.274035  \n",
       "166              7023             2              1.322396  \n",
       "214             11051             3              1.915175  \n",
       "\n",
       "[263 rows x 9 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly.sort_values(by='abductions_delta')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Above blue line, NGO over-report in terms of count. Below, NGO under-report.\n",
    "weekly[['events_delta','zero']].plot(color='orange')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>500</td>\n",
       "      <td>2005-08-05</td>\n",
       "      <td>No Name</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>31</td>\n",
       "      <td>190</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>22</td>\n",
       "      <td>2005-08-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>192</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>16</td>\n",
       "      <td>2005-08-17</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Baruneshwor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>192</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>15</td>\n",
       "      <td>2005-08-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>192</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>14</td>\n",
       "      <td>2005-08-17</td>\n",
       "      <td>Unidentified Teachers Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>Bigutar</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>33</td>\n",
       "      <td>192</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>700</td>\n",
       "      <td>2005-08-28</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>193</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>800</td>\n",
       "      <td>2005-08-28</td>\n",
       "      <td>NO Name</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>34</td>\n",
       "      <td>193</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>200</td>\n",
       "      <td>2005-08-29</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gulmi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>35</td>\n",
       "      <td>194</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>24</td>\n",
       "      <td>2005-08-31</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sindhupalchowk</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>8</td>\n",
       "      <td>35</td>\n",
       "      <td>194</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE                     VICTIMSNAME  AGE GENDER  \\\n",
       "373           500  2005-08-05                         No Name  NaN    NaN   \n",
       "374            22  2005-08-17                   Unidentified   NaN    NaN   \n",
       "375            16  2005-08-17           Unidentified Students  NaN    NaN   \n",
       "376            15  2005-08-17                   Unidentified   NaN    NaN   \n",
       "377            14  2005-08-17  Unidentified Teachers Students  NaN    NaN   \n",
       "378           700  2005-08-28                    Unidentified  NaN    NaN   \n",
       "379           800  2005-08-28                         NO Name  NaN    NaN   \n",
       "380           200  2005-08-29                    Unidentified  NaN    NaN   \n",
       "381            24  2005-08-31                    Unidentified  NaN    NaN   \n",
       "\n",
       "       DISTRICTNAME       VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION  \\\n",
       "373       Taplejung                  NaN           0           Unavailable   \n",
       "374     Okhaldhunga                  NaN           0               Student   \n",
       "375     Okhaldhunga  Baruneshwor     NaN           0               Student   \n",
       "376     Okhaldhunga                  NaN           0               Teacher   \n",
       "377     Okhaldhunga      Bigutar     NaN           0           Unavailable   \n",
       "378       Taplejung          NaN     NaN           0               Teacher   \n",
       "379       Taplejung                  NaN           0           Unavailable   \n",
       "380           Gulmi          NaN     NaN           0               Student   \n",
       "381  Sindhupalchowk                  NaN           0               Student   \n",
       "\n",
       "    DESIGNATION  KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "373         NaN  By Non-State         Maoists               Abduction   \n",
       "374     Student  By Non-State         Maoists               Abduction   \n",
       "375         NaN  By Non-State         Maoists               Abduction   \n",
       "376         NaN  By Non-State         Maoists               Abduction   \n",
       "377         NaN  By Non-State         Maoists               Abduction   \n",
       "378         NaN  By Non-State         Maoists               Abduction   \n",
       "379         NaN  By Non-State         Maoists               Abduction   \n",
       "380         NaN  By Non-State         Maoists               Abduction   \n",
       "381         NaN  By Non-State         Maoists               Abduction   \n",
       "\n",
       "    VICTIMSTATUSSUBDESCRIPTION  year  month  week  weekid  monthid  \n",
       "373                  Abduction  2005      8    31     190       44  \n",
       "374                  Abduction  2005      8    33     192       44  \n",
       "375                  Abduction  2005      8    33     192       44  \n",
       "376                  Abduction  2005      8    33     192       44  \n",
       "377                  Abduction  2005      8    33     192       44  \n",
       "378                  Abduction  2005      8    34     193       44  \n",
       "379                  Abduction  2005      8    34     193       44  \n",
       "380                  Abduction  2005      8    35     194       44  \n",
       "381                  Abduction  2005      8    35     194       44  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo[ngo.monthid==44]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "      <th>zero</th>\n",
       "      <th>abductions_delta</th>\n",
       "      <th>events_delta</th>\n",
       "      <th>log_abductions_delta</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>162</td>\n",
       "      <td>1795</td>\n",
       "      <td>15</td>\n",
       "      <td>620</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1175</td>\n",
       "      <td>10</td>\n",
       "      <td>0.461215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>130</td>\n",
       "      <td>1769</td>\n",
       "      <td>15</td>\n",
       "      <td>438</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1331</td>\n",
       "      <td>11</td>\n",
       "      <td>0.605509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>128</td>\n",
       "      <td>2710</td>\n",
       "      <td>21</td>\n",
       "      <td>2122</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>588</td>\n",
       "      <td>12</td>\n",
       "      <td>0.106180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>120</td>\n",
       "      <td>325</td>\n",
       "      <td>18</td>\n",
       "      <td>1086</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>-761</td>\n",
       "      <td>14</td>\n",
       "      <td>-0.523012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>195</td>\n",
       "      <td>2837</td>\n",
       "      <td>24</td>\n",
       "      <td>150</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2687</td>\n",
       "      <td>22</td>\n",
       "      <td>1.274035</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekid  ngo_abductions  ngo_events  media_abductions  media_events  zero  \\\n",
       "161     162            1795          15               620             5     0   \n",
       "129     130            1769          15               438             4     0   \n",
       "127     128            2710          21              2122             9     0   \n",
       "119     120             325          18              1086             4     0   \n",
       "194     195            2837          24               150             2     0   \n",
       "\n",
       "     abductions_delta  events_delta  log_abductions_delta  \n",
       "161              1175            10              0.461215  \n",
       "129              1331            11              0.605509  \n",
       "127               588            12              0.106180  \n",
       "119              -761            14             -0.523012  \n",
       "194              2687            22              1.274035  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weekly.sort_values('events_delta').tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>700</td>\n",
       "      <td>2005-01-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>Saipru</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>100</td>\n",
       "      <td>2005-01-17</td>\n",
       "      <td>Unidentified Students</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kavre</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>30</td>\n",
       "      <td>2005-01-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>Saipru</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>6</td>\n",
       "      <td>2005-01-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>50</td>\n",
       "      <td>2005-01-19</td>\n",
       "      <td>Unidentified Children</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>Salu</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>240</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dhading</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>110</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>15</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>14</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-01-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dhading</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>190</td>\n",
       "      <td>2005-01-21</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dhading</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>10</td>\n",
       "      <td>2005-01-21</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dhading</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>300</td>\n",
       "      <td>2005-01-23</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Teacher</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>15</td>\n",
       "      <td>2005-01-23</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>5</td>\n",
       "      <td>2005-01-23</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sindhuli</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>162</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE            VICTIMSNAME  AGE GENDER  \\\n",
       "276           700  2005-01-17           Unidentified  NaN    NaN   \n",
       "277           100  2005-01-17  Unidentified Students  NaN    NaN   \n",
       "278            30  2005-01-17           Unidentified  NaN    NaN   \n",
       "279             6  2005-01-17           Unidentified  NaN   Male   \n",
       "280            50  2005-01-19  Unidentified Children  NaN    NaN   \n",
       "281           240  2005-01-20           Unidentified  NaN    NaN   \n",
       "282           110  2005-01-20           Unidentified  NaN    NaN   \n",
       "283            15  2005-01-20           Unidentified  NaN    NaN   \n",
       "284            14  2005-01-20           Unidentified  NaN    NaN   \n",
       "285            10  2005-01-20           Unidentified  NaN    NaN   \n",
       "286           190  2005-01-21           Unidentified  NaN    NaN   \n",
       "287            10  2005-01-21           Unidentified  NaN    NaN   \n",
       "288           300  2005-01-23           Unidentified  NaN    NaN   \n",
       "289            15  2005-01-23           Unidentified  NaN   Male   \n",
       "290             5  2005-01-23           Unidentified  NaN    NaN   \n",
       "\n",
       "      DISTRICTNAME  VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION  \\\n",
       "276      Ramechhap  Saipru     NaN           0               Student   \n",
       "277          Kavre     NaN     NaN           0               Student   \n",
       "278      Ramechhap  Saipru     NaN           0               Teacher   \n",
       "279       Sindhuli     NaN     NaN           0           Unavailable   \n",
       "280      Ramechhap    Salu     NaN           0               Student   \n",
       "281        Dhading     NaN     NaN           0               Student   \n",
       "282  Sankhuwasabha     NaN     NaN           0               Student   \n",
       "283  Sankhuwasabha             NaN           0               Teacher   \n",
       "284  Sankhuwasabha             NaN           0               Teacher   \n",
       "285        Dhading             NaN           0               Teacher   \n",
       "286        Dhading             NaN           0               Student   \n",
       "287        Dhading             NaN           0               Teacher   \n",
       "288      Taplejung     NaN     NaN           0               Teacher   \n",
       "289       Sindhuli     NaN     NaN           0           Unavailable   \n",
       "290       Sindhuli             NaN           0           Unavailable   \n",
       "\n",
       "    DESIGNATION  KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "276         NaN  By Non-State         Maoists               Abduction   \n",
       "277         NaN  By Non-State         Maoists               Abduction   \n",
       "278         NaN  By Non-State         Maoists               Abduction   \n",
       "279         NaN  By Non-State         Maoists               Abduction   \n",
       "280     Student  By Non-State         Maoists               Abduction   \n",
       "281     Student  By Non-State         Maoists               Abduction   \n",
       "282         NaN  By Non-State         Maoists               Abduction   \n",
       "283     Teacher  By Non-State         Maoists               Abduction   \n",
       "284     Teacher  By Non-State         Maoists               Abduction   \n",
       "285     Teacher  By Non-State         Maoists               Abduction   \n",
       "286     Student  By Non-State         Maoists               Abduction   \n",
       "287     Teacher  By Non-State         Maoists               Abduction   \n",
       "288         NaN  By Non-State         Maoists               Abduction   \n",
       "289         NaN  By Non-State         Maoists               Abduction   \n",
       "290         NaN  By Non-State         Maoists               Abduction   \n",
       "\n",
       "    VICTIMSTATUSSUBDESCRIPTION  year  month  week  weekid  monthid  \n",
       "276                  Abduction  2005      1     3     162       37  \n",
       "277                  Abduction  2005      1     3     162       37  \n",
       "278                  Abduction  2005      1     3     162       37  \n",
       "279                  Abduction  2005      1     3     162       37  \n",
       "280                  Abduction  2005      1     3     162       37  \n",
       "281                  Abduction  2005      1     3     162       37  \n",
       "282                  Abduction  2005      1     3     162       37  \n",
       "283                  Abduction  2005      1     3     162       37  \n",
       "284                  Abduction  2005      1     3     162       37  \n",
       "285                  Abduction  2005      1     3     162       37  \n",
       "286                  Abduction  2005      1     3     162       37  \n",
       "287                  Abduction  2005      1     3     162       37  \n",
       "288                  Abduction  2005      1     3     162       37  \n",
       "289                  Abduction  2005      1     3     162       37  \n",
       "290                  Abduction  2005      1     3     162       37  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo[ngo.weekid==162]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>Location</th>\n",
       "      <th>Batch</th>\n",
       "      <th>Observations</th>\n",
       "      <th>Coder</th>\n",
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       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>101</td>\n",
       "      <td>2005-01-25</td>\n",
       "      <td>Dhading</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Shivabhanjyang High School in Dhading</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>350</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>250 kidnapped and release one day; 700 more im...</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>300</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Janajyoti Secondary School in Dupok village</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>85</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sharada Lower Secondary School</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>24</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Janajagriti Primary School</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>159</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Saraswati Secondary School in Matsyapokhari vi...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>165</td>\n",
       "      <td>2005-01-26</td>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dharmadevi Lower Secondary School in Matsyapok...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>400</td>\n",
       "      <td>2005-01-27</td>\n",
       "      <td>Dhading</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3 villages</td>\n",
       "      <td>3</td>\n",
       "      <td>estimates of 100 &amp; 400</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>400</td>\n",
       "      <td>2005-01-28</td>\n",
       "      <td>Doti</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>1000</td>\n",
       "      <td>2005-01-28</td>\n",
       "      <td>Jhapa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jana Adarsha Secondary School, Sivagunj and Tr...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>7</td>\n",
       "      <td>2005-01-28</td>\n",
       "      <td>Dailekh</td>\n",
       "      <td>Dullu</td>\n",
       "      <td>Shanti Bazaar of Dullu Village Development Com...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>9</td>\n",
       "      <td>2005-01-28</td>\n",
       "      <td>Panchthar</td>\n",
       "      <td>Chyangthapu</td>\n",
       "      <td>Bishnu High School of Chyangthapu Village Deve...</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>KE</td>\n",
       "      <td>2005</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>163</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE   DISTRICTNAME       VDCMCP  \\\n",
       "181           101  2005-01-25        Dhading          NaN   \n",
       "182           350  2005-01-26  Sankhuwasabha          NaN   \n",
       "183           300  2005-01-26  Sankhuwasabha          NaN   \n",
       "184            85  2005-01-26  Sankhuwasabha          NaN   \n",
       "185            24  2005-01-26  Sankhuwasabha          NaN   \n",
       "186           159  2005-01-26  Sankhuwasabha          NaN   \n",
       "187           165  2005-01-26  Sankhuwasabha          NaN   \n",
       "188           400  2005-01-27        Dhading          NaN   \n",
       "189           400  2005-01-28           Doti          NaN   \n",
       "190          1000  2005-01-28          Jhapa          NaN   \n",
       "191             7  2005-01-28        Dailekh        Dullu   \n",
       "192             9  2005-01-28      Panchthar  Chyangthapu   \n",
       "\n",
       "                                              Location  Batch  \\\n",
       "181              Shivabhanjyang High School in Dhading      3   \n",
       "182                                                NaN      3   \n",
       "183        Janajyoti Secondary School in Dupok village      3   \n",
       "184                     Sharada Lower Secondary School      3   \n",
       "185                         Janajagriti Primary School      3   \n",
       "186  Saraswati Secondary School in Matsyapokhari vi...      3   \n",
       "187  Dharmadevi Lower Secondary School in Matsyapok...      3   \n",
       "188                                         3 villages      3   \n",
       "189                                                NaN      3   \n",
       "190  Jana Adarsha Secondary School, Sivagunj and Tr...      3   \n",
       "191  Shanti Bazaar of Dullu Village Development Com...      3   \n",
       "192  Bishnu High School of Chyangthapu Village Deve...      3   \n",
       "\n",
       "                                          Observations Coder   year  month  \\\n",
       "181                                                NaN     KE  2005      1   \n",
       "182  250 kidnapped and release one day; 700 more im...     KE  2005      1   \n",
       "183                                                NaN     KE  2005      1   \n",
       "184                                                NaN     KE  2005      1   \n",
       "185                                                NaN     KE  2005      1   \n",
       "186                                                NaN     KE  2005      1   \n",
       "187                                                NaN     KE  2005      1   \n",
       "188                             estimates of 100 & 400     KE  2005      1   \n",
       "189                                                NaN     KE  2005      1   \n",
       "190                                                NaN     KE  2005      1   \n",
       "191                                                NaN     KE  2005      1   \n",
       "192                                                NaN     KE  2005      1   \n",
       "\n",
       "     week  weekid  monthid  \n",
       "181     4     163       37  \n",
       "182     4     163       37  \n",
       "183     4     163       37  \n",
       "184     4     163       37  \n",
       "185     4     163       37  \n",
       "186     4     163       37  \n",
       "187     4     163       37  \n",
       "188     4     163       37  \n",
       "189     4     163       37  \n",
       "190     4     163       37  \n",
       "191     4     163       37  \n",
       "192     4     163       37  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media[media.weekid==163]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Monthly Time Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "ngo_month = ngo.groupby('monthid', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"CASEQUANTITY\":'ngo_abductions',\"CASEDATE\":'ngo_events'})\n",
    "\n",
    "media_month = media.groupby('monthid', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"CASEQUANTITY\":'media_abductions',\"CASEDATE\":'media_events'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>monthid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>270</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>13</td>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>16</td>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>25</td>\n",
       "      <td>292</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>26</td>\n",
       "      <td>396</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>27</td>\n",
       "      <td>977</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>28</td>\n",
       "      <td>1635</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>29</td>\n",
       "      <td>4378</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>30</td>\n",
       "      <td>3914</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>31</td>\n",
       "      <td>2059</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>32</td>\n",
       "      <td>1346</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>33</td>\n",
       "      <td>4468</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>34</td>\n",
       "      <td>483</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>35</td>\n",
       "      <td>1276</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>36</td>\n",
       "      <td>1767</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>37</td>\n",
       "      <td>3722</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>38</td>\n",
       "      <td>9010</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>39</td>\n",
       "      <td>531</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>40</td>\n",
       "      <td>531</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>41</td>\n",
       "      <td>1482</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>42</td>\n",
       "      <td>2717</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>43</td>\n",
       "      <td>1529</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>44</td>\n",
       "      <td>2291</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>45</td>\n",
       "      <td>5095</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>46</td>\n",
       "      <td>1440</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>47</td>\n",
       "      <td>1342</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>48</td>\n",
       "      <td>541</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>49</td>\n",
       "      <td>11747</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>50</td>\n",
       "      <td>2301</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>51</td>\n",
       "      <td>712</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>52</td>\n",
       "      <td>613</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>53</td>\n",
       "      <td>381</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>54</td>\n",
       "      <td>1313</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>56</td>\n",
       "      <td>480</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>57</td>\n",
       "      <td>1576</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>59</td>\n",
       "      <td>890</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>60</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    monthid  ngo_abductions  ngo_events\n",
       "0         1              22           2\n",
       "1         6              35           1\n",
       "2         7              64           3\n",
       "3         9             270           4\n",
       "4        11              26           2\n",
       "5        13              45           2\n",
       "6        14              50           1\n",
       "7        16              40           2\n",
       "8        23              36           1\n",
       "9        25             292           7\n",
       "10       26             396           2\n",
       "11       27             977          31\n",
       "12       28            1635          13\n",
       "13       29            4378          49\n",
       "14       30            3914          43\n",
       "15       31            2059          19\n",
       "16       32            1346          20\n",
       "17       33            4468          31\n",
       "18       34             483           4\n",
       "19       35            1276          19\n",
       "20       36            1767          12\n",
       "21       37            3722          37\n",
       "22       38            9010          15\n",
       "23       39             531           7\n",
       "24       40             531           7\n",
       "25       41            1482          23\n",
       "26       42            2717          10\n",
       "27       43            1529           6\n",
       "28       44            2291           9\n",
       "29       45            5095          51\n",
       "30       46            1440           5\n",
       "31       47            1342          11\n",
       "32       48             541           5\n",
       "33       49           11747          10\n",
       "34       50            2301           8\n",
       "35       51             712           8\n",
       "36       52             613           7\n",
       "37       53             381           5\n",
       "38       54            1313           4\n",
       "39       56             480           3\n",
       "40       57            1576           7\n",
       "41       59             890           5\n",
       "42       60             100           1"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo_month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>monthid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   monthid  ngo_abductions  ngo_events  media_abductions  media_events\n",
       "0        1              22           2                 0             0\n",
       "1        2               0           0                 0             0\n",
       "2        3               0           0                 0             0\n",
       "3        4               0           0                 6             1\n",
       "4        5               0           0                 0             0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaffold = pd.DataFrame(list(range(1,60)),columns=['monthid'])\n",
    "scaffold = scaffold.merge(ngo_month, on='monthid', how='left')\n",
    "scaffold = scaffold.merge(media_month, on='monthid', how='left')\n",
    "monthly = scaffold.fillna(0).astype('int32')\n",
    "monthly.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly['zero']=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly[['ngo_abductions','media_abductions']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly[['ngo_events','media_events']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly['zero']=0\n",
    "monthly['abductions_delta'] = monthly['ngo_abductions']-monthly['media_abductions']\n",
    "monthly['events_delta'] = monthly['ngo_events']-monthly['media_events']\n",
    "monthly['log_abductions_delta'] = np.log10(monthly['ngo_abductions']+1)-np.log10(monthly['media_abductions']+1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use above graphs to make figure 2 in the paper."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1000 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=2, ncols=3, figsize=(20,10))\n",
    "\n",
    "monthly[['ngo_events','media_events']].plot(ax=ax[0][0])\n",
    "ax[0][0].set_xlabel('Months since January 2002 \\n ')\n",
    "ax[0][0].set_ylabel('Recorded Events')\n",
    "\n",
    "monthly[['ngo_abductions','media_abductions']].plot(ax=ax[0][1])\n",
    "ax[0][1].set_xlabel('Months since January 2002 \\n Monthly abductions reported')\n",
    "ax[0][1].set_ylabel('Recorded Abductions')\n",
    "\n",
    "monthly[['events_delta','zero']].plot(ax=ax[0][2])\n",
    "ax[0][2].set_xlabel('Months since January 2002 \\n Values above 0 indicate NGO reporting more events than the media')\n",
    "ax[0][2].set_ylabel('Recorded Difference in Abductions \\n (NGO-Media)')\n",
    "\n",
    "weekly[['ngo_events','media_events']].plot(ax=ax[1][0])\n",
    "ax[0][0].set_xlabel('Weeks since January 2002 \\n ')\n",
    "ax[0][0].set_ylabel('Recorded Events')\n",
    "\n",
    "weekly[['ngo_abductions','media_abductions']].plot(ax=ax[1][1])\n",
    "ax[0][1].set_xlabel('Weeks since January 2002 \\n Monthly abductions reported')\n",
    "ax[0][1].set_ylabel('Recorded Abductions')\n",
    "\n",
    "weekly[['events_delta','zero']].plot(ax=ax[1][2])\n",
    "ax[0][2].set_xlabel('Weeks since January 2002 \\n Values above 0 indicate NGO reporting more events than the media')\n",
    "ax[0][2].set_ylabel('Recorded Difference in Abductions \\n (NGO-Media)')\n",
    "\n",
    "fig.savefig('Nepal/temporals.pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Above blue line, NGO over-report in terms of count. Below, NGO under-report.\n",
    "monthly[['abductions_delta','zero']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>CASEDATE</th>\n",
       "      <th>VICTIMSNAME</th>\n",
       "      <th>AGE</th>\n",
       "      <th>GENDER</th>\n",
       "      <th>DISTRICTNAME</th>\n",
       "      <th>VDCMCP</th>\n",
       "      <th>WARDNO</th>\n",
       "      <th>LOCATIONNO</th>\n",
       "      <th>OCCUPATIONDESCRIPTION</th>\n",
       "      <th>DESIGNATION</th>\n",
       "      <th>KILLINGSTYPE</th>\n",
       "      <th>KILLINGSSUBTYPE</th>\n",
       "      <th>VICTIMSTATUSDESCRIPTION</th>\n",
       "      <th>VICTIMSTATUSSUBDESCRIPTION</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>week</th>\n",
       "      <th>weekid</th>\n",
       "      <th>monthid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>2002-01-04</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kailali</td>\n",
       "      <td>Paddon</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>2002-01-23</td>\n",
       "      <td>Unidentified (Student)</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Salyan</td>\n",
       "      <td>Shyunrat</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35</td>\n",
       "      <td>2002-06-15</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Depalgaun</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>6</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20</td>\n",
       "      <td>2002-07-12</td>\n",
       "      <td>Unidentifed</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Narakot</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>28</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>2002-07-16</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jumla</td>\n",
       "      <td>Kanaka Sundari</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>Student</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>29</td>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>71</td>\n",
       "      <td>2006-11-16</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lamjung</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>12</td>\n",
       "      <td>2006-11-17</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>Kaski</td>\n",
       "      <td></td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>400</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Unidentified Children</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parsa</td>\n",
       "      <td>Birwaguthi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>400</td>\n",
       "      <td>2006-11-18</td>\n",
       "      <td>Unidentified Children</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parsa</td>\n",
       "      <td>Birwaguthi</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Unavailable</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>11</td>\n",
       "      <td>46</td>\n",
       "      <td>258</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>100</td>\n",
       "      <td>2006-12-20</td>\n",
       "      <td>Unidentified</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Baitadi</td>\n",
       "      <td>Dehimandau</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Student</td>\n",
       "      <td>NaN</td>\n",
       "      <td>By Non-State</td>\n",
       "      <td>Maoists</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>Abduction</td>\n",
       "      <td>2006</td>\n",
       "      <td>12</td>\n",
       "      <td>51</td>\n",
       "      <td>263</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>512 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     CASEQUANTITY    CASEDATE             VICTIMSNAME   AGE GENDER  \\\n",
       "0              10  2002-01-04                 Student   NaN    NaN   \n",
       "1              12  2002-01-23  Unidentified (Student)  25.0   Male   \n",
       "2              35  2002-06-15            Unidentified   NaN    NaN   \n",
       "3              20  2002-07-12             Unidentifed   NaN    NaN   \n",
       "4              22  2002-07-16            Unidentified   NaN    NaN   \n",
       "..            ...         ...                     ...   ...    ...   \n",
       "507            71  2006-11-16            Unidentified   NaN    NaN   \n",
       "508            12  2006-11-17            Unidentified   NaN   Male   \n",
       "509           400  2006-11-18   Unidentified Children   NaN    NaN   \n",
       "510           400  2006-11-18   Unidentified Children   NaN    NaN   \n",
       "511           100  2006-12-20            Unidentified   NaN    NaN   \n",
       "\n",
       "    DISTRICTNAME          VDCMCP  WARDNO  LOCATIONNO OCCUPATIONDESCRIPTION  \\\n",
       "0        Kailali          Paddon     9.0           0           Unavailable   \n",
       "1         Salyan        Shyunrat     4.0           0               Student   \n",
       "2          Jumla       Depalgaun     NaN           0               Student   \n",
       "3          Jumla         Narakot     5.0           0               Student   \n",
       "4          Jumla  Kanaka Sundari     NaN           0               Student   \n",
       "..           ...             ...     ...         ...                   ...   \n",
       "507      Lamjung                     NaN           0           Unavailable   \n",
       "508        Kaski                     NaN           0           Unavailable   \n",
       "509        Parsa      Birwaguthi     NaN           0           Unavailable   \n",
       "510        Parsa      Birwaguthi     NaN           0           Unavailable   \n",
       "511      Baitadi      Dehimandau     NaN           0               Student   \n",
       "\n",
       "    DESIGNATION  KILLINGSTYPE KILLINGSSUBTYPE VICTIMSTATUSDESCRIPTION  \\\n",
       "0           NaN  By Non-State         Maoists               Abduction   \n",
       "1       Student  By Non-State         Maoists               Abduction   \n",
       "2       Student  By Non-State         Maoists               Abduction   \n",
       "3       Student  By Non-State         Maoists               Abduction   \n",
       "4       Student  By Non-State         Maoists               Abduction   \n",
       "..          ...           ...             ...                     ...   \n",
       "507         NaN  By Non-State         Maoists               Abduction   \n",
       "508         NaN  By Non-State         Maoists               Abduction   \n",
       "509         NaN  By Non-State         Maoists               Abduction   \n",
       "510         NaN  By Non-State         Maoists               Abduction   \n",
       "511         NaN  By Non-State         Maoists               Abduction   \n",
       "\n",
       "    VICTIMSTATUSSUBDESCRIPTION  year  month  week  weekid  monthid  \n",
       "0                    Abduction  2002      1     1       1        1  \n",
       "1                    Abduction  2002      1     4       4        1  \n",
       "2                    Abduction  2002      6    24      24        6  \n",
       "3                    Abduction  2002      7    28      28        7  \n",
       "4                    Abduction  2002      7    29      29        7  \n",
       "..                         ...   ...    ...   ...     ...      ...  \n",
       "507                  Abduction  2006     11    46     258       59  \n",
       "508                  Abduction  2006     11    46     258       59  \n",
       "509                  Abduction  2006     11    46     258       59  \n",
       "510                  Abduction  2006     11    46     258       59  \n",
       "511                  Abduction  2006     12    51     263       60  \n",
       "\n",
       "[512 rows x 20 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly[['log_abductions_delta','zero']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly[['events_delta','zero']].plot(color='orange')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly.to_csv('Nepal/monthly.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "weekly.to_csv('Nepal/weekly.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>monthid</th>\n",
       "      <th>ngo_abductions</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "      <th>zero</th>\n",
       "      <th>abductions_delta</th>\n",
       "      <th>events_delta</th>\n",
       "      <th>log_abductions_delta</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22</td>\n",
       "      <td>2</td>\n",
       "      <td>1.361728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-6</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.845098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>1.556303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>2</td>\n",
       "      <td>0.733732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-8</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.954243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>270</td>\n",
       "      <td>4</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>170</td>\n",
       "      <td>3</td>\n",
       "      <td>0.428648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>-21</td>\n",
       "      <td>-3</td>\n",
       "      <td>-1.342423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>0.317420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-45</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.662758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "      <td>296</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>-251</td>\n",
       "      <td>-2</td>\n",
       "      <td>-0.809999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "      <td>1.707570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>40</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>0.251056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-9</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>-7</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.903090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-15</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1.204120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-46</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1.672098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>36</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.091080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>177</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-177</td>\n",
       "      <td>-2</td>\n",
       "      <td>-2.250420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>292</td>\n",
       "      <td>7</td>\n",
       "      <td>425</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>-133</td>\n",
       "      <td>2</td>\n",
       "      <td>-0.162542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>396</td>\n",
       "      <td>2</td>\n",
       "      <td>2139</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>-1743</td>\n",
       "      <td>-14</td>\n",
       "      <td>-0.731623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>977</td>\n",
       "      <td>31</td>\n",
       "      <td>1525</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>-548</td>\n",
       "      <td>19</td>\n",
       "      <td>-0.193216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>1635</td>\n",
       "      <td>13</td>\n",
       "      <td>3551</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>-1916</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.336690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>4378</td>\n",
       "      <td>49</td>\n",
       "      <td>6116</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>-1738</td>\n",
       "      <td>26</td>\n",
       "      <td>-0.145164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>3914</td>\n",
       "      <td>43</td>\n",
       "      <td>4007</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>-93</td>\n",
       "      <td>29</td>\n",
       "      <td>-0.010196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>31</td>\n",
       "      <td>2059</td>\n",
       "      <td>19</td>\n",
       "      <td>990</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1069</td>\n",
       "      <td>10</td>\n",
       "      <td>0.317794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>32</td>\n",
       "      <td>1346</td>\n",
       "      <td>20</td>\n",
       "      <td>1504</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>-158</td>\n",
       "      <td>9</td>\n",
       "      <td>-0.048169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>33</td>\n",
       "      <td>4468</td>\n",
       "      <td>31</td>\n",
       "      <td>5327</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>-859</td>\n",
       "      <td>13</td>\n",
       "      <td>-0.076354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>34</td>\n",
       "      <td>483</td>\n",
       "      <td>4</td>\n",
       "      <td>343</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>140</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.148287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>35</td>\n",
       "      <td>1276</td>\n",
       "      <td>19</td>\n",
       "      <td>1274</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>0.000681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>36</td>\n",
       "      <td>1767</td>\n",
       "      <td>12</td>\n",
       "      <td>2891</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>-1124</td>\n",
       "      <td>6</td>\n",
       "      <td>-0.213716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>37</td>\n",
       "      <td>3722</td>\n",
       "      <td>37</td>\n",
       "      <td>6381</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>-2659</td>\n",
       "      <td>14</td>\n",
       "      <td>-0.234064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>38</td>\n",
       "      <td>9010</td>\n",
       "      <td>15</td>\n",
       "      <td>350</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8660</td>\n",
       "      <td>14</td>\n",
       "      <td>1.409466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>39</td>\n",
       "      <td>531</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>521</td>\n",
       "      <td>6</td>\n",
       "      <td>1.684519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>40</td>\n",
       "      <td>531</td>\n",
       "      <td>7</td>\n",
       "      <td>453</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>4</td>\n",
       "      <td>0.068856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>41</td>\n",
       "      <td>1482</td>\n",
       "      <td>23</td>\n",
       "      <td>970</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>512</td>\n",
       "      <td>14</td>\n",
       "      <td>0.183922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>42</td>\n",
       "      <td>2717</td>\n",
       "      <td>10</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>715</td>\n",
       "      <td>1</td>\n",
       "      <td>0.132569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>43</td>\n",
       "      <td>1529</td>\n",
       "      <td>6</td>\n",
       "      <td>279</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1250</td>\n",
       "      <td>0</td>\n",
       "      <td>0.737533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>44</td>\n",
       "      <td>2291</td>\n",
       "      <td>9</td>\n",
       "      <td>1427</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>864</td>\n",
       "      <td>-8</td>\n",
       "      <td>0.205486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>45</td>\n",
       "      <td>5095</td>\n",
       "      <td>51</td>\n",
       "      <td>5606</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>-511</td>\n",
       "      <td>23</td>\n",
       "      <td>-0.041501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>46</td>\n",
       "      <td>1440</td>\n",
       "      <td>5</td>\n",
       "      <td>1337</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>103</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.032208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>47</td>\n",
       "      <td>1342</td>\n",
       "      <td>11</td>\n",
       "      <td>1143</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>199</td>\n",
       "      <td>3</td>\n",
       "      <td>0.069650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>48</td>\n",
       "      <td>541</td>\n",
       "      <td>5</td>\n",
       "      <td>1525</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>-984</td>\n",
       "      <td>-2</td>\n",
       "      <td>-0.449555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>49</td>\n",
       "      <td>11747</td>\n",
       "      <td>10</td>\n",
       "      <td>231</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>11516</td>\n",
       "      <td>5</td>\n",
       "      <td>1.704476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>50</td>\n",
       "      <td>2301</td>\n",
       "      <td>8</td>\n",
       "      <td>900</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1401</td>\n",
       "      <td>-9</td>\n",
       "      <td>0.407381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>51</td>\n",
       "      <td>712</td>\n",
       "      <td>8</td>\n",
       "      <td>1932</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>-1220</td>\n",
       "      <td>-4</td>\n",
       "      <td>-0.433142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>52</td>\n",
       "      <td>613</td>\n",
       "      <td>7</td>\n",
       "      <td>305</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>308</td>\n",
       "      <td>1</td>\n",
       "      <td>0.302447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>53</td>\n",
       "      <td>381</td>\n",
       "      <td>5</td>\n",
       "      <td>84</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>297</td>\n",
       "      <td>-3</td>\n",
       "      <td>0.652644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>54</td>\n",
       "      <td>1313</td>\n",
       "      <td>4</td>\n",
       "      <td>168</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1145</td>\n",
       "      <td>0</td>\n",
       "      <td>0.890709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>-37</td>\n",
       "      <td>-2</td>\n",
       "      <td>-1.579784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>56</td>\n",
       "      <td>480</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>468</td>\n",
       "      <td>2</td>\n",
       "      <td>1.568202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>57</td>\n",
       "      <td>1576</td>\n",
       "      <td>7</td>\n",
       "      <td>42</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1534</td>\n",
       "      <td>2</td>\n",
       "      <td>1.564363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>58</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>68</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>-68</td>\n",
       "      <td>-6</td>\n",
       "      <td>-1.838849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>59</td>\n",
       "      <td>890</td>\n",
       "      <td>5</td>\n",
       "      <td>728</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>162</td>\n",
       "      <td>-5</td>\n",
       "      <td>0.087150</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    monthid  ngo_abductions  ngo_events  media_abductions  media_events  zero  \\\n",
       "0         1              22           2                 0             0     0   \n",
       "1         2               0           0                 0             0     0   \n",
       "2         3               0           0                 0             0     0   \n",
       "3         4               0           0                 6             1     0   \n",
       "4         5               0           0                 0             0     0   \n",
       "5         6              35           1                 0             0     0   \n",
       "6         7              64           3                11             1     0   \n",
       "7         8               0           0                 8             1     0   \n",
       "8         9             270           4               100             1     0   \n",
       "9        10               0           0                21             3     0   \n",
       "10       11              26           2                12             1     0   \n",
       "11       12               0           0                45             1     0   \n",
       "12       13              45           2               296             4     0   \n",
       "13       14              50           1                 0             0     0   \n",
       "14       15               0           0                 0             0     0   \n",
       "15       16              40           2                22             1     0   \n",
       "16       17               0           0                 9             1     0   \n",
       "17       18               0           0                 0             0     0   \n",
       "18       19               0           0                 0             0     0   \n",
       "19       20               0           0                 7             1     0   \n",
       "20       21               0           0                15             2     0   \n",
       "21       22               0           0                46             2     0   \n",
       "22       23              36           1                29             1     0   \n",
       "23       24               0           0               177             2     0   \n",
       "24       25             292           7               425             5     0   \n",
       "25       26             396           2              2139            16     0   \n",
       "26       27             977          31              1525            12     0   \n",
       "27       28            1635          13              3551            14     0   \n",
       "28       29            4378          49              6116            23     0   \n",
       "29       30            3914          43              4007            14     0   \n",
       "30       31            2059          19               990             9     0   \n",
       "31       32            1346          20              1504            11     0   \n",
       "32       33            4468          31              5327            18     0   \n",
       "33       34             483           4               343             5     0   \n",
       "34       35            1276          19              1274            14     0   \n",
       "35       36            1767          12              2891             6     0   \n",
       "36       37            3722          37              6381            23     0   \n",
       "37       38            9010          15               350             1     0   \n",
       "38       39             531           7                10             1     0   \n",
       "39       40             531           7               453             3     0   \n",
       "40       41            1482          23               970             9     0   \n",
       "41       42            2717          10              2002             9     0   \n",
       "42       43            1529           6               279             6     0   \n",
       "43       44            2291           9              1427            17     0   \n",
       "44       45            5095          51              5606            28     0   \n",
       "45       46            1440           5              1337             8     0   \n",
       "46       47            1342          11              1143             8     0   \n",
       "47       48             541           5              1525             7     0   \n",
       "48       49           11747          10               231             5     0   \n",
       "49       50            2301           8               900            17     0   \n",
       "50       51             712           8              1932            12     0   \n",
       "51       52             613           7               305             6     0   \n",
       "52       53             381           5                84             8     0   \n",
       "53       54            1313           4               168             4     0   \n",
       "54       55               0           0                37             2     0   \n",
       "55       56             480           3                12             1     0   \n",
       "56       57            1576           7                42             5     0   \n",
       "57       58               0           0                68             6     0   \n",
       "58       59             890           5               728            10     0   \n",
       "\n",
       "    abductions_delta  events_delta  log_abductions_delta  \n",
       "0                 22             2              1.361728  \n",
       "1                  0             0              0.000000  \n",
       "2                  0             0              0.000000  \n",
       "3                 -6            -1             -0.845098  \n",
       "4                  0             0              0.000000  \n",
       "5                 35             1              1.556303  \n",
       "6                 53             2              0.733732  \n",
       "7                 -8            -1             -0.954243  \n",
       "8                170             3              0.428648  \n",
       "9                -21            -3             -1.342423  \n",
       "10                14             1              0.317420  \n",
       "11               -45            -1             -1.662758  \n",
       "12              -251            -2             -0.809999  \n",
       "13                50             1              1.707570  \n",
       "14                 0             0              0.000000  \n",
       "15                18             1              0.251056  \n",
       "16                -9            -1             -1.000000  \n",
       "17                 0             0              0.000000  \n",
       "18                 0             0              0.000000  \n",
       "19                -7            -1             -0.903090  \n",
       "20               -15            -2             -1.204120  \n",
       "21               -46            -2             -1.672098  \n",
       "22                 7             0              0.091080  \n",
       "23              -177            -2             -2.250420  \n",
       "24              -133             2             -0.162542  \n",
       "25             -1743           -14             -0.731623  \n",
       "26              -548            19             -0.193216  \n",
       "27             -1916            -1             -0.336690  \n",
       "28             -1738            26             -0.145164  \n",
       "29               -93            29             -0.010196  \n",
       "30              1069            10              0.317794  \n",
       "31              -158             9             -0.048169  \n",
       "32              -859            13             -0.076354  \n",
       "33               140            -1              0.148287  \n",
       "34                 2             5              0.000681  \n",
       "35             -1124             6             -0.213716  \n",
       "36             -2659            14             -0.234064  \n",
       "37              8660            14              1.409466  \n",
       "38               521             6              1.684519  \n",
       "39                78             4              0.068856  \n",
       "40               512            14              0.183922  \n",
       "41               715             1              0.132569  \n",
       "42              1250             0              0.737533  \n",
       "43               864            -8              0.205486  \n",
       "44              -511            23             -0.041501  \n",
       "45               103            -3              0.032208  \n",
       "46               199             3              0.069650  \n",
       "47              -984            -2             -0.449555  \n",
       "48             11516             5              1.704476  \n",
       "49              1401            -9              0.407381  \n",
       "50             -1220            -4             -0.433142  \n",
       "51               308             1              0.302447  \n",
       "52               297            -3              0.652644  \n",
       "53              1145             0              0.890709  \n",
       "54               -37            -2             -1.579784  \n",
       "55               468             2              1.568202  \n",
       "56              1534             2              1.564363  \n",
       "57               -68            -6             -1.838849  \n",
       "58               162            -5              0.087150  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        1\n",
       "1        4\n",
       "2       24\n",
       "3       28\n",
       "4       29\n",
       "      ... \n",
       "507    258\n",
       "508    258\n",
       "509    258\n",
       "510    258\n",
       "511    263\n",
       "Name: weekid, Length: 512, dtype: int64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngo.weekid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figures 2 and 3 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Geo-analysis prep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "ngo_geography = ngo.groupby('DISTRICTNAME', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"DISTRICTNAME\":'district',\"CASEQUANTITY\":'ngo_abductions',\"CASEDATE\":'ngo_events'})\n",
    "\n",
    "media_geography = media.groupby('DISTRICTNAME', as_index=False)\\\n",
    ".agg({\"CASEQUANTITY\": \"sum\",\"CASEDATE\":\"count\"})\\\n",
    ".rename(columns={\"DISTRICTNAME\":'district',\"CASEQUANTITY\":'media_abductions',\"CASEDATE\":'media_events'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_geography.to_csv('media_geog.csv')\n",
    "ngo_geography.to_csv('ngo_geog.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>DIST_EN</th>\n",
       "      <th>DIST_PCODE</th>\n",
       "      <th>DIST_REF</th>\n",
       "      <th>DIST_ALT1E</th>\n",
       "      <th>DIST_ALT2E</th>\n",
       "      <th>ADM1_EN</th>\n",
       "      <th>ADM1_PCODE</th>\n",
       "      <th>ADM0_EN</th>\n",
       "      <th>ADM0_PCODE</th>\n",
       "      <th>date</th>\n",
       "      <th>validOn</th>\n",
       "      <th>validTo</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.669841</td>\n",
       "      <td>0.157628</td>\n",
       "      <td>Achham</td>\n",
       "      <td>NP0769</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>7</td>\n",
       "      <td>NP07</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((81.17123 29.38651, 81.17158 29.38636...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.379392</td>\n",
       "      <td>0.113604</td>\n",
       "      <td>Arghakhanchi</td>\n",
       "      <td>NP0550</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>5</td>\n",
       "      <td>NP05</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((83.00452 28.11196, 83.00497 28.11185...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.885914</td>\n",
       "      <td>0.168997</td>\n",
       "      <td>Baglung</td>\n",
       "      <td>NP0443</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>NP04</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((83.09969 28.63449, 83.10098 28.63409...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.499412</td>\n",
       "      <td>0.138908</td>\n",
       "      <td>Baitadi</td>\n",
       "      <td>NP0774</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>7</td>\n",
       "      <td>NP07</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((80.75845 29.70454, 80.75864 29.70430...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.157278</td>\n",
       "      <td>0.322517</td>\n",
       "      <td>Bajhang</td>\n",
       "      <td>NP0767</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>7</td>\n",
       "      <td>NP07</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((81.09006 30.05419, 81.09033 30.05418...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2.306762</td>\n",
       "      <td>0.095237</td>\n",
       "      <td>Syangja</td>\n",
       "      <td>NP0441</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>NP04</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((83.80659 28.21951, 83.80678 28.21945...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2.753912</td>\n",
       "      <td>0.144202</td>\n",
       "      <td>Tanahu</td>\n",
       "      <td>NP0440</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "      <td>NP04</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((84.40018 28.12679, 84.40105 28.12644...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2.879520</td>\n",
       "      <td>0.332004</td>\n",
       "      <td>Taplejung</td>\n",
       "      <td>NP0101</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>NP01</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((87.83415 27.95165, 87.83477 27.95147...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>1.184713</td>\n",
       "      <td>0.061062</td>\n",
       "      <td>Terhathum</td>\n",
       "      <td>NP0108</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>NP01</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((87.53561 27.29123, 87.53638 27.29112...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>3.716080</td>\n",
       "      <td>0.208709</td>\n",
       "      <td>Udayapur</td>\n",
       "      <td>NP0114</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>NP01</td>\n",
       "      <td>Nepal</td>\n",
       "      <td>NP</td>\n",
       "      <td>2017-11-15</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((86.39984 27.17672, 86.40008 27.17649...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>77 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shape_Leng  Shape_Area       DIST_EN DIST_PCODE DIST_REF DIST_ALT1E  \\\n",
       "0     2.669841    0.157628        Achham     NP0769     None       None   \n",
       "1     2.379392    0.113604  Arghakhanchi     NP0550     None       None   \n",
       "2     2.885914    0.168997       Baglung     NP0443     None       None   \n",
       "3     2.499412    0.138908       Baitadi     NP0774     None       None   \n",
       "4     3.157278    0.322517       Bajhang     NP0767     None       None   \n",
       "..         ...         ...           ...        ...      ...        ...   \n",
       "72    2.306762    0.095237       Syangja     NP0441     None       None   \n",
       "73    2.753912    0.144202        Tanahu     NP0440     None       None   \n",
       "74    2.879520    0.332004     Taplejung     NP0101     None       None   \n",
       "75    1.184713    0.061062     Terhathum     NP0108     None       None   \n",
       "76    3.716080    0.208709      Udayapur     NP0114     None       None   \n",
       "\n",
       "   DIST_ALT2E ADM1_EN ADM1_PCODE ADM0_EN ADM0_PCODE        date     validOn  \\\n",
       "0        None       7       NP07   Nepal         NP  2017-11-15  2019-04-30   \n",
       "1        None       5       NP05   Nepal         NP  2017-11-15  2019-04-30   \n",
       "2        None       4       NP04   Nepal         NP  2017-11-15  2019-04-30   \n",
       "3        None       7       NP07   Nepal         NP  2017-11-15  2019-04-30   \n",
       "4        None       7       NP07   Nepal         NP  2017-11-15  2019-04-30   \n",
       "..        ...     ...        ...     ...        ...         ...         ...   \n",
       "72       None       4       NP04   Nepal         NP  2017-11-15  2019-04-30   \n",
       "73       None       4       NP04   Nepal         NP  2017-11-15  2019-04-30   \n",
       "74       None       1       NP01   Nepal         NP  2017-11-15  2019-04-30   \n",
       "75       None       1       NP01   Nepal         NP  2017-11-15  2019-04-30   \n",
       "76       None       1       NP01   Nepal         NP  2017-11-15  2019-04-30   \n",
       "\n",
       "   validTo                                           geometry  \n",
       "0     None  POLYGON ((81.17123 29.38651, 81.17158 29.38636...  \n",
       "1     None  POLYGON ((83.00452 28.11196, 83.00497 28.11185...  \n",
       "2     None  POLYGON ((83.09969 28.63449, 83.10098 28.63409...  \n",
       "3     None  POLYGON ((80.75845 29.70454, 80.75864 29.70430...  \n",
       "4     None  POLYGON ((81.09006 30.05419, 81.09033 30.05418...  \n",
       "..     ...                                                ...  \n",
       "72    None  POLYGON ((83.80659 28.21951, 83.80678 28.21945...  \n",
       "73    None  POLYGON ((84.40018 28.12679, 84.40105 28.12644...  \n",
       "74    None  POLYGON ((87.83415 27.95165, 87.83477 27.95147...  \n",
       "75    None  POLYGON ((87.53561 27.29123, 87.53638 27.29112...  \n",
       "76    None  POLYGON ((86.39984 27.17672, 86.40008 27.17649...  \n",
       "\n",
       "[77 rows x 15 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nepal = gpd.read_file('shape/npl_admbnda_districts_nd_20190430.shp')\n",
    "nepal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nepal.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>district</th>\n",
       "      <th>media_abductions</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Achham</td>\n",
       "      <td>5206</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Baglung</td>\n",
       "      <td>1017</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Baitadi</td>\n",
       "      <td>1544</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bajhang</td>\n",
       "      <td>94</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bajura</td>\n",
       "      <td>3926</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  district  media_abductions  media_events\n",
       "0   Achham              5206            24\n",
       "1  Baglung              1017            11\n",
       "2  Baitadi              1544             7\n",
       "3  Bajhang                94             3\n",
       "4   Bajura              3926            12"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media_geo=pd.read_csv('media_geog_man.csv').groupby('district', as_index=False)\\\n",
    ".agg({\"media_abductions\": \"sum\",\"media_events\":\"sum\"})\n",
    "ngo_geo=pd.read_csv('ngo_geog_man.csv').groupby('district', as_index=False)\\\n",
    ".agg({\"ngo_abductions\": \"sum\",\"ngo_events\":\"sum\"})\n",
    "media_geo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The clean aggregated datasets should show empty below.\n",
    "\n",
    "If not you have to manually clean these. These changes to match SHP files should be propagated \"back\" to the original dataset!\n",
    "Also, the EAST-WEST distinctions for districts should be molten in the SHP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>district</th>\n",
       "      <th>DIST_EN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [district, DIST_EN]\n",
       "Index: []"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ngoclean = nepal.merge(ngo_geo, left_on='DIST_EN', right_on='district', how='right')[['district','DIST_EN']]\n",
    "ngoclean[ngoclean.DIST_EN.isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>district</th>\n",
       "      <th>DIST_EN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [district, DIST_EN]\n",
       "Index: []"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mediaclean = nepal.merge(media_geo, left_on='DIST_EN', right_on='district', how='right')[['district','DIST_EN']]\n",
    "mediaclean[mediaclean.DIST_EN.isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finally, let's make a choropeth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "nepal_sp = nepal.merge(ngo_geo, left_on='DIST_EN', right_on='district', how='left')\n",
    "nepal_sp = nepal_sp.merge(media_geo, left_on='DIST_EN', right_on='district', how='left')\n",
    "\n",
    "nepal_sp[['ngo_events', 'media_events','ngo_abductions', 'media_abductions']] = \\\n",
    "nepal_sp[['ngo_events', 'media_events','ngo_abductions', 'media_abductions']].fillna(value=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DIST_EN</th>\n",
       "      <th>diff_events</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Achham</td>\n",
       "      <td>-17.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Doti</td>\n",
       "      <td>-10.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Sankhuwasabha</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Rolpa</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Dang</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Kanchanpur</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dailekh</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Udayapur</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Baglung</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Morang</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          DIST_EN  diff_events  ngo_events  media_events\n",
       "0          Achham        -17.0         7.0          24.0\n",
       "21           Doti        -10.0         7.0          17.0\n",
       "63  Sankhuwasabha         -6.0         3.0           9.0\n",
       "58          Rolpa         -6.0         0.0           6.0\n",
       "14           Dang         -5.0         2.0           7.0\n",
       "32     Kanchanpur         -4.0         0.0           4.0\n",
       "13        Dailekh         -4.0         3.0           7.0\n",
       "76       Udayapur         -4.0         5.0           9.0\n",
       "2         Baglung         -4.0         7.0          11.0\n",
       "42         Morang         -3.0         0.0           3.0"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nepal_sp['diff_events']=nepal_sp.ngo_events - nepal_sp.media_events\n",
    "nepal_sp['diff_abductions'] = nepal_sp['ngo_abductions']-nepal_sp['media_abductions']\n",
    "\n",
    "nepal_sp[['DIST_EN','diff_events','ngo_events','media_events']].sort_values(by='diff_events').head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DIST_EN</th>\n",
       "      <th>diff_events</th>\n",
       "      <th>ngo_events</th>\n",
       "      <th>media_events</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jumla</td>\n",
       "      <td>8.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Terhathum</td>\n",
       "      <td>10.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Ramechhap</td>\n",
       "      <td>10.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Dhading</td>\n",
       "      <td>11.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Taplejung</td>\n",
       "      <td>13.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Surkhet</td>\n",
       "      <td>15.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Okhaldhunga</td>\n",
       "      <td>19.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Dhankuta</td>\n",
       "      <td>26.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Sindhuli</td>\n",
       "      <td>34.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bajura</td>\n",
       "      <td>43.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        DIST_EN  diff_events  ngo_events  media_events\n",
       "28        Jumla          8.0        11.0           3.0\n",
       "75    Terhathum         10.0        11.0           1.0\n",
       "55    Ramechhap         10.0        24.0          14.0\n",
       "16      Dhading         11.0        23.0          12.0\n",
       "74    Taplejung         13.0        24.0          11.0\n",
       "71      Surkhet         15.0        19.0           4.0\n",
       "49  Okhaldhunga         19.0        21.0           2.0\n",
       "17     Dhankuta         26.0        30.0           4.0\n",
       "66     Sindhuli         34.0        38.0           4.0\n",
       "5        Bajura         43.0        55.0          12.0"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nepal_sp[['DIST_EN','diff_events','ngo_events','media_events']].sort_values(by='diff_events').tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure 4. The map of districts:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.rcParams['figure.figsize'] = [15, 15]\n",
    "fig_titles = ['Difference between events reported in INSEC data and media-based data. \\n Positive values indicate INSEC over-reporting events; negative values indicate media over-reporting events']\n",
    "ax=nepal_sp.plot(column='diff_events', cmap='RdBu', legend=True, scheme='user_defined', classification_kwds={'bins':np.array([ -15, -10, -5, 5, 10, 15])})\n",
    "ax.set_title(fig_titles[0])\n",
    "plt.savefig('Nepal/map_newbins.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure 1 in Revision Memo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "wq =  lps.weights.Queen.from_dataframe(nepal_sp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "EVENT DIFF : Moran global I : -0.06219983568123016, Simulated p-value (one-tailed): 0.274\n",
      "ABDUCTION DIFF : Moran global I : 0.08631812557858255, Simulated p-value (one-tailed): 0.051\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(9943359)\n",
    "mi = esda.moran.Moran(nepal_sp[['diff_events']], wq)\n",
    "mi_k = esda.moran.Moran(nepal_sp[['diff_abductions']], wq)\n",
    "print (f'EVENT DIFF : Moran global I : {mi.I}, Simulated p-value (one-tailed): {mi.p_sim}')\n",
    "print (f'ABDUCTION DIFF : Moran global I : {mi_k.I}, Simulated p-value (one-tailed): {mi_k.p_sim}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "li = esda.moran.Moran_Local(nepal_sp[['diff_events']], wq)\n",
    "li.q\n",
    "sig = li.p_sim < 0.05\n",
    "hotspot = sig * li.q==1\n",
    "coldspot = sig * li.q==3\n",
    "doughnut = sig * li.q==2\n",
    "diamond = sig * li.q==4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False, False, False, False, False,  True, False, False, False,\n",
       "       False, False, False,  True, False, False, False, False, False,\n",
       "       False, False, False, False, False, False,  True, False, False,\n",
       "       False, False, False, False, False, False, False, False, False,\n",
       "       False, False, False, False, False, False, False,  True, False,\n",
       "       False, False, False, False, False, False, False, False, False,\n",
       "       False,  True, False, False, False, False, False, False, False,\n",
       "        True, False, False, False, False, False, False, False,  True,\n",
       "       False, False, False, False,  True])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r9/147lb9956w3cl4tl0kktrl3r0000gn/T/ipykernel_79700/1684741008.py:10: DeprecationWarning: In future, it will be an error for 'np.bool_' scalars to be interpreted as an index\n",
      "  nepal_sp['msl'] = [spot_labels[i] for i in spots]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+//PPP09LSwsAExMTXLhwgfXr1wNwzz338Mwzz9x0vueee461a9divfp9dDgcS9LVlR/vOEUk73itFvZPhnhyAbseXpMGfjQe5EfjCz/HUgje8OnOaCLJp7uH+edNbViyuOuHiIiIiIhk30sqS7EZ00sQ58pmwIsrS+5+4BxNTU1x6dILH7J3dHRw7NgxKisrrwdH8+X1ennnO9/Je9/73uvn+eu//mvC4TC/+qu/CkBrayuGYfDII4/w2te+FrfbfdtAeYB3v/vdPPTQQ6xdu5aJiQmeeOIJNmzYcNMxH/rQh6iqqqKuro73v//9VFdX8zM/8zMA/P7v/z67d+/mz/7sz/iFX/gF9u3bx6c+9Sk+/elPX398W1sbTz/9NG9+85txOp1UV1cv6Ou+Gy1XFJEZWQ2DBytLWY4xz3dH/bQ+dYJPdA4yFp95lthne4aZWOCcMX8iyV9eGeAVB8/xgYt9iylVRERERETuoMHp4NVVMw9cn81rqn00OB0Zq+HQoUNs376d7du3A/Ce97yH7du38yd/8ieLOu9HPvIR3vjGN/Lwww+zY8cOLl26xKOPPkpFRQUAjY2N/Omf/in/5//8H+rq6vjt3/7tGc+TSqX4rd/6LTZs2MBP/MRPsG7dupsCqmvX+t3f/V127tzJwMAA3/rWt653iu3YsYMvf/nLfOlLX2LTpk38yZ/8CR/60Id461vfev3xH/rQh+js7GTVqlXU1NQs6uu+EyNX6yRnYxhGGeD3+/2UlZXluhyRZS2cSrPl2VMLXsdeDByGQZvbyU/XlrO51M06rwuA1x6+SCiV4jP3tPJQTfm8zvmdkUl+9VTn9X//Xmsdm0vdvKSyFG+et0WLiIiIiORKNBqlo6OD9vZ2XC7XnB93LBDmp49eJJa+e/7hshh8c/satpV5FlNq0XjyySd52ctexsTEBOXl5Vm91p1+voFA4NrukD7TNAOznUPLFUVkVpfD0WUdcMH0APsL4Sgf7Ry87b5ah4113pmH6Q/GEvxTzwhvaqhgvddNMDk92yyUSvGhS/03Hfu3XUMAvLm+kk9sWFi7soiIiIiIzGxbmYd/vKeVd5zpumPQ5bQYfOaeVgVcBUwhl4jMap3XRb3DzmA8ketS8tJwPMmvnergd1rr+Jm6ipvu64/G+XTPMJ/rHeHBihKeHA/yv1ZUUe+00xWNz3i+ZJ511oqIiIiIFIuHasr5n+0OPtk9xKOj/ptmdNmM6SWK72qpU8BV4BRyicis/vLKgAKuuzgTivK+C72MJZL8UkMVLquFiUTy+sD+hGnyxNXB+//WP3bHGWdPjAe4FI6y2jP31msREREREZmbbWUePr+pnYFYnKfHpwimUpRarby4siSjM7iKyUtf+lLybczVnSjkEpEZpUyTZyemcl1GQZhIpnj/xT5OBCP8RnMNf9UxwKOjMy8Tv9N/HsYTKX79VCdP7FmfnUJFRERERIQGp4NfaKjMdRmSBQq5RGRGVsPg/21dyae6hzniD3MwEMp1SXnvvwfH+e/B8UWdYzyRImWaWI3luK+liIiIiIjIwllyXYCI5K8ah50/Xd3IFza341DosiQG4wl+fHWpo4iIiIiI3K6Qls/J3GXi56qQS0Tu6mwoQoPTnusylo3ZljqKiIiIiCxnVqsVgHh85o2cpLCFw2EA7PaFv/fUckURmVUomeLZySl+9VQnCX1asiReVlnKB1atyHUZIiIiIiJ5x2az4fF4GBkZwW63Y7Gob6cYmKZJOBxmeHiY8vLy62HmQijkEpFZPTc5xS+f7Mh1GcvKHp8Xl1X/sRYRERERuZVhGDQ0NNDR0UFXV1euy5EMKy8vp76+flHnUMglIrOqddr5o5UNnJ6K8D/Dk7kuZ1n4lcbqXJcgIiIiIpK3HA4Ha9as0ZLFImO32xfVwXWNQi4RmdXWUg9bSz2883RnrktZFjaVuElrVaiIiIiIyB1ZLBZcLleuy5A8pDUxInJHXZEY39cg9CVxairCt4Yncl2GiIiIiIhIQVLIJSJ39KWBcSLpdK7LWDbGEslclyAiIiIiIlKQtFxRRGaUMk0+eKmPz/WO5rqUZeOdzTX8bF1FrssQEREREREpSAq5RDLAH0lgMaDUZc91KRnznRG/Aq4lVG6z8v+11eO1LX7YooiIiIiIyHKkkEtkkbrHwrzps/sYDETZ017Je161lh0tFThshb0aeGupO9clLCu/2FClgEtERERERGQRFHKJzMGZ/gD/c7yPMpedkWCM7vEw3eNhQrEkwWiSqdj0HKUDHeO8+Z+eZ11dKW/a3cybdjUVbHfXn13uz3UJy0qF3YppmhiGketSRERERERECpJCLpG78EcSvPVfDzAcjM35MeeHgvztYxf4uR1NWawsu6rsenlYSn9+ZYBVHicvryxjIpmkwenIdUkiIiIiIiIFpbDXU4lk2TeP9vHqv31qXgHXNVOxJD86P5yFqpbGLzdW57qEZeftpzppe/oE9z5/lqfHg7kuR0REREREpKAo5BKZxY8vjvD7XznOUGD+Adc17/7vY3zo22cwTTODlS2NEqteHnIlljY5MxXJdRkiIiIiIiIFRe9iRWbQMRri4c8fIJVefDj1L8928P1Tgxmoamn1xxK5LmFZG9D3X0REREREZF4UconcIp02ec+Xj2XkXDaLwb+8dRev2VifkfMthclEkned7eJnj17KdSnL2md7R7RkUUREREREZB4Uconc4r8P9XC0ezIj50qbJs9fGadQNswbiSfY8/wZvjI4ketSBPiVkx2893wPoWQKmH4+jcTV4SUiIiIiIjITbZ8mcouByczNQkqb8E9PX+FtD7TR4HNn7LzZkDZN/qV3lEAynetS5KpIOs2/94/x2GiANreD01MRgqk0H13XxMMrtDGAiIiIiIjIjRRyidzg2UujfO7HHRk/73OXxnjlhjp8HnvGz71Ypmny5HiQ3z/fozlceWownmDwhg6uVW5XDqsRERERERHJT1quKAKk0ibv/tJRfumf9xNJpDJ+/t//ynH+4rtnM37eTPjy4ARvOXFFAVcBOTkVznUJIiIiIiIieUchlwjQMx7mYGd251B942gf3zren9Vr3I1p3rxb5IlgmPdd7M1RNbIQZTYLr67y5boMERERERGRvKOQSwRoq/by4Z/ZlNVrxFNp/uP5rtuCpqUwFEvwzESQD15+IWTri8b5+WOXCac0g6uQGBg8OurnsD+Uk+eSiIiIiIhIvtJMLpGr6sqyP+foQMc4uz78Q956fxvvesWarFwjbZqcnorw6GiAoXiCqWSK/xmeJA1U2q1sL/XgtBg8OzmFP5n5pZmSXf5k6npY+bLKUv5r66ocVyQiIiIiIpIfFHKJXLWq1ovDZiGe5d0Fx0JxPvbYBX5iUz1r6kozfv6zoSivOnRhxvvGEynecaYr49eU3Njt8+a6BBERERERkbyh5YoiVzltVl67qX5Jr5cN670uXlutmU3Frs5h4/da63JdhoiIiIiISN5QyCVygwfX1CzZtRy27Pz6WQ2DT97TwgdWrcjK+SW3HIbBWxur+dfN7bkuRUREREREJK9ouaLIVc9cHOU7JweW5Fp72yup92VvBpjXauUdzTUMxhN8tmcka9eRpffnaxt5eEV1rssQERERERHJOwq5ZFmLxFP84Mwg3zs5yPdPDy7ZdY92T7L/yhh7V1Zl7RqGYfCnqxs5HYzwzORU1q4jS+eVVWXcX16S6zJERERERETykpYryrKVTpu89u9/zO9+6diSBlwA8VSaE73+JbnWH69egctiLMm1JLt+OBbgDUcv0RmJ5boUERERERGRvKOQS5Yti8Vge3N5zq5f4XUsyXUiqTTRtLkk15Lsc1os1DvsuS5DREREREQk7yjkkmUlmkjxL890cLrfzxPnhnjm0mjOahkKRPnQt8/waJa7yEqztIuj5MaDFSW4rHrpFhERERERuZVmcsmy0T8Z4bf+8whHuydzXQoAH330PADfPNbH/auqKHVlpzun1bU0HWOyNOwWBVwiIiIiIiIz0bslWRYuDQd55cefypuA60bjoTj/8KPLWTv/WCKZtXPL0nr/ygbe116f6zJERERERETykjq5pOhNxZL84ddOEo6ncl3KjAwD9q6szNr5e6PxrJ1bls5Kt5N3tdblugwREREREZG8pU4uKXrv/cpxDndN5LqMWb31/jZetq42a+dvcjnQ3oqFrzMS41I4CkBylo0EJhNJ3n22m585cnHWY0RERERERIqVOrmkqO2/Msb3szzYfbF2tFRk7dznQ1HedrIDxR2FLw188FI/TovBAX8IC7Cl1IPXauFiOMquMi8XwzGem5wC4E3HL/PRdU20u50kTROHZnmJiIiIiEiRM0wzv97+GoZRBvj9fj9lZWW5LkcKWCSe4nWfeoZLw1O5LmVW966s5L/+970YRnZ6rX7l5BUeHQ1k5dyS/6wG2AyDCpuNI/ffgyVLzzMREREREZFsCgQC+Hw+AJ9pmrO+yVUnlxSdAX+Ezz51hcfPDdEzHsl1ObPa215JucdOOJ7C68z8r+LFUJTHFHAtaykTUqbJYDzBQX+IveUl1++Lp9PYDSNrAauIiIiIiMhSU8glRef93zjFE+eGc13GrO5pKMNtt7C/YxyA4cB+/uqNW1hTV5qxawSjCZ46N8xGp5PTsRjpjJ1ZCtXXhybYWebFZpkOtb48OMEnuga5v7yEv1vforBLREREREQKnkIuKSqXR6b40fn8DbjKPXY6R6cIJ16InY50T/JPT1/hoz+/ddHnPzsQ4BtH+zjcNXF92P7eh9p5Ph3XXK5l7ov9Yzw3OcWvNtVgNeBjHUMMxhN8eXCCSruND65uzHWJIiIiIiIii6KZXFJULg0HeeXHn851GTNy2iy0VHq4OMuMsFU1Xr76jvup8DoWdP7nLo/ytn89SCx5e99Wmc9B+4ZqbCV2Im4rR+KxBV1DipPXauHSg5vVzSUiIiIiInlprjO55rXdlmEY7zQM44RhGIGr/7fPMIyHbrjfMAzjg4Zh9BuGETEM40nDMDYu/MsQmZ+mCg8ehzXXZdzGbjXY0uSbNeACuDwS4lvH++96rnA8SSptcmtAff+qar79rhfRVuW57TEBf5zjz/dz+IddjDw/yP2mna1OJ3f7TinyWB5CqTS/dOIKXx+auH7b2092MBxL8INRfw4rExERERERmbv5LlfsBf4PcOnqv38F+B/DMLabpnka+APgPcBbgQvA/wUeMwxjnWmawcyULDK7zz19hXA8lesyblLptVNd4uRg58Rdj/3nZ65QU+qkrszF6toSfG779ftM08Q04Z3/cYRnLo3y8zub+Mgbt9z0+LYqL+UeB4yFZ73GyEiYkR90ArCixkPzjlr2kbhpOaPDMLjH7sDWH8bustJZYWMgkZzX1y2F5YnxIE+OB9lR5qHR6eB8KMre588SSaf5+rbV3FfuVaeXiIiIiIjktUUvVzQMYxx4L/AvQD/wCdM0/+rqfU5gCPhD0zQ/O8fzabmiLEg6bfLKjz/FldFQrku5yZ72Sg5cHTI/H1uafOxtr2RlTQnfPNrH2YEAr7ynjq8f6bt+zId/ZhP/695WIvEUn/jhBS6PTPHDs/OfSbZlTwPBejcO4HIywZq+GGePv3Ceyko3jfc3cDChZY7F7mdqyzngD2EAfbHE9dv/Zl0zv9hQiUVBl4iIiIiILLG5LldccMhlGIYV+Hngi8B2IApcBnaYpnn0huP+B5g0TfNXZjmPE3DecFMp0KuQS+YjmUrzke+d45+f6ch1KTexGNBc4aZrPJKV87vtVmxWA9OEqVhmOq1WrChhcChEOnX7a4PDYaGlvZzIOh8TqRTjyfzqmpPs+uUVVfz1uuZclyEiIiIiIsvMXEOuee+uaBjGZmAf4AKmgJ81TfOMYRj3Xz1k6JaHDAGtdzjl+4APzLcOkXODAd7z38ex2yxgmhzvzb/ZQduayznSPZm180cSKUjc/bj56O+ffW5YPJ7m0vlxOD+O02ll42taOB2LZ7YAyVv/1j/Gb7bU0uZ23v1gERERERGRJTavwfNXnQe2AfcCnwG+aBjGPTfcf2v7hzHDbTf6S8B3w/81LaAmWWYC0QQf+J/TnBkIcLxnMi8DLrvVoDPPlk5mUiyWwhfLr91ZJft+/thlDkxOkUjrZy8iIiIiIvll3iGXaZpx0zQvmaZ5yDTN9wHHgd8FBq8eUn/LQ2q5vbvrxvPFTNMMXPs/QAPq5Y4mw3He+Onn2L+AOVdLpcJjZ1tzOePhDLdZ5RnTovlMy01PNM7rj17iocMX6I5Mz2hLKvASEREREZE8sJBOrlsZTM/U6mA66HrV9TsMwwG8BHguA9cR4VSfnzd9dh8Xh2dfUpcP2qq8c9pNsdAd/0Ena5yOXJchOXBqKsID+8/xpmOXeOOxSxwPzr6jp4iIiIiIyFKY10wuwzD+Avge0MP0gPg3Ay8FfsI0TdMwjE8Af2QYxkXgIvBHQBj4zwzWLMvUoD/KW/7peYIZGrCeTReGgrjtFiKJdK5Lyap0yqTMVDfXcpUwTZ6emA6cX3PoAvv2bqDdc/u8rq5IjKOBMD9dW46h3RlFRERERCRL5jt4vg74d6AB8AMnmA64Hrt6/18DbuDTQAWwH3i1aZpagih3FIwm+PKhXi4NT/GTmxt40Zrqm+43TZP3f+NkQQRcAKUuO4OBaK7LWBIRQ0vVBMptVuwzLF81TZM/utDH4+MBPt87yrvb6nhFlXbOFRERERGRzDNMM7/eoBqGUQb4/X4/ZWV6I1TsfnxxhH/+cQeHOscJxVMAOG0W3vnSVbxkbQ1DgSidY2FO9fl55MRAjquduwqPHQOKeiaX02nlnpe3sC+t3RVlWqPTzt9vaOGBitLrt31tcJzfOtt9/d9Oi8H/aqjiPW31VDnmvcGviIiIiIgsQ4FAAJ/PB+C7Os99Rgq5JGe+c2KAd/3XEYpxZvXe9sq8HoyfCVt/sp39yewFXAbgsVoIpW5e8tnsctATVbCWryrtVv6wrZ7X11Xw9aEJPnS5n9gMv+T/vLGNn6otX/oCRURERESk4Mw15NLH6JITY1Mx3vf1E0UZcG1oKOVgZ3EHXAAjR0dgsy9j5/NYLHisFkYTSeyGQbvbwXgiycYSLz3ROCnTpNXl4GAgzM4yD8cCYVIZu7pkyngixRf6x/jQlYHbAsobdVzdmVFERERERCRTMrG7osi8vferJwhEC2O+1nxUlzjoHA0VZXh3q8qGkgU/1mZAk8vOtlL39dtaXA6sBmzwunBZ4EI4xmgixQF/iIFYguF4koOB6R38DgfC1Dnti/4aJDtKbdY7BlwAz0zk9w6pIiIiIiJSeBRyyZI7OxDgiXPDuS4jKxp87qLfUfGas8eGaHTcPWiyMr308JptpW4qbDZ6owlOBCPs8XnY4/NyLhxlKJ7kbChKMHX3lLDF5cBnsy78C5Cs2OR1cdAfuutxhwIhjgTufpyIiIiIiMhcKeSSJfexH1zIdQlZMxyMsqLclesylkQqZVJ7h5eQNR4n9/m8rHBOD+HfXeahzmHjVDDCSGK6iy8NHPCHOTCHUORWz/tDrPM6F1i9ZFqZ1cJ9Pi9nQ1Hm0sgYSqV5+EQHXxkcJ5TUwlMREREREVk8hVyypEaCMZ6+MJLrMrJmKBBjPBRnde3Cl/IVkrQx8+0WYDiWYJ8/RE8sQRo4GAgzFE+SyUWq0Tl0fMnS2FDiZp8/NK85aWOJJO86282/9I1mrS4REREREVk+NHheltTZgQDxu8zqKXTRRJrO0VDR77BotRoEmPlnmQaaXA78oWhWazg5Nb3ccSKRospuYySexGu14LJaSKRNXBaDNNPLJY8EwsTzbDfZYhJcRDfW14Ym+NWmGjxWfe4iIiIiIiILp5BLllRThfvuBxWBZNpkf8c49zSUcWZg1t1NC9rKNZWcjCVmvM9hGDgts7R5ZZDJ9HJHgIvcebe+lS4HE8kUE1oalxU2Y+E/73OhKH/TMcifrF6RwYpERERERGS50cfmsqTqfS4W8V644JQ4i3cw+sXzY+xyzDwTa2upmyPByBJXdGcOi2VeS+lkbu71eVntcXJianE/768MjTMSnzk0FRERERERmQuFXLKkHj87zHJaMXZ5JITHXqS/Ziac/PYV9k6abOuP80DCyk6Hkw2Xw5hXgngtFhx5lGjG02kC6uLKqHt9Xp73h7gUvnMX3VyMxJP8q2ZziYiIiIjIImi5oiyp758ezHUJS2osFGd3WwUHOydyXUpWGMDx/f2z3m+1wN7dKzhXZcOfym3AlFhO6eoSORYIXQ+6MuHjnUMMxBK8t62eFS5HRs4pIiIiIiLLR5G2mEg+evT0ID9YZiEXgEH+dDMtNTM9HYL5Do9RZcvt0s1wurg3PMiFqAnnQ1E8lsz9p+S/BsbZ/fwZHtx/lj8838NYPJP7cYqIiIiISDFTyCVLIp02+dQTl0ikll83TVLhCsNDIVp6IjmN+1wZDGLkBRPJFCs9M89mW6iUCRfDMb7YP8YHL/dl9NwiIiIiIlK89K5PlsTF4SlGgouf21OIbApXADh7YoR7LblbglbrsOfs2sWm3GZhV5mHtR4nu8u89MfiWblOmc3CG2orsnJuEREREREpPprJJUviP/d3MRiI5rqM3Fi+qxVv03d4GN+uqpzM57Lq55AxlXYbhwLhq//KXnj9xc0rua+8ZMb7xhNJDvlDvKiiFI9VQbKIiIiIiKiTS7JsOBjl+6cGeP7KeK5LyRllKy8YHg6xqj83Yactj3Z6LHTZnuFvNwze3lhNg3Pm7rtYOs3rj1zkl0928EXtyCgiIiIiIlepk0uy6uM/uMCXDvbkuoycSqTSGMDym0Y2M1etB0gs2fWswG6fl/0Z2gFQoN5ppyOanSWKAK+pLuMv1jbddNuZqQiPjEyyfzLElUiMgdj0c+izPSO8sqqMlR4nVgWZIiIiIiLLmkIuyYpYMsUHv3WGrxzuzXUpOXeke5INDaWMT8UZWqZzyW6UcFiWMuMiBVyJxBQyZtBEMrvLTZ8aD/JbZ7rYWebBMAy+0DdKRzhGfIYWssF4glcfOg/Au1vr+d22uqzWJiIiIiIi+Ushl2ScaZr8yzOd/NeB7lyXkjfODgRprHCzq7WCyUiCS8NTuS4pZyJaJF3wOsMxymxWAlkKu4KpNF8bmuBrQxNzOj6Sng6/np0M8rso5BIRERERWa4UcknGmKbJp564xCd/dIl4Mp3rcvJO30SEvokIO1rKc11KTg2ll3bovMOYHlIumRM1Tda5HRwPRnJdyk1+PDHFQCxOgzN3u3iKiIiIiEjuqKdCMuYrh3v52GMXFHDdhdWyvOcGxdJL+/xY53WT1FrFjCq1WhiO5V9waALvv9CX6zJERERERCRH1Mklc+aPJPC5Z97tDOBQ5/LdQXE+jGU8HHvTjjoOpZY25EpneyvAZWB3mYcU4DQMplJpTk5FCC7xz3EuHIbBH65syHUZIiIiIiKSIwq5ZE6evjDCX3z3LJ98y3a+f2qQnokw25or+JntK/A4bHSNhfjyIQ2ZnwtzmYYua9ZXcbLODunsf/0WYHOpG38yhWUZh4qZY3AkkN+7U67xOHlnSy3rvK5clyIiIiIiIjmikEtm1TEa4nDXBF873MvhrgniqTSv+tunr9//5UO9fOwH59neUg4oSJiLtioP3WPhXJeREyXVbmJZDrjqHDZaXA4uR2J5Ny+qkOXrCttGp53tZR4Spsln72nDZdUKfBERERGR5Uwhl8zqG0f7+PvHL97xmLFQnB+eHV6iigpfucdO5zINuTpPj2LZU0U2F7m1uZ3s9+d3x1EhCiRTVNisTGRpN8WFemtjNe9q1W6KIiIiIiIyTR97y6wOdIzluoSiMxXLr5BgKU1MRFnvdGb1Gl2RWFbPv1ydDUVZ5cnuz24h4kuw9FVERERERAqHQi6Z0TMXRzncNZHrMopOhWf2wf3LgeX8JLYsLX1rdzkYjOffjn/FIpxng+Z/prac32tTF5eIiIiIiLxAyxVlRl870ksipS6JTFvuQ9CHB6fwrPISyEJgUma3QjTjpxVgncfJWCK/AsTReBKLYZBMm/xN5yAA3xmZJJRKc0+Jm1+or+SnanzLejdTEREREZHlRiGX3GRsKsahrgkuDU/lupSi47BZ6Jtc3sPQWx9s4mAiO0sKPRY1pmZDqdXgfDj/loEeDoT4vXPd/HAswMgtHXz9sQQ/HAvwv5uq+bM1TTmqUERERERElpreFQoA6auzbc4PBfmNfz/MyT5/jisqHs0Vbva0VVJT4qB3YnmEXHa7hU076lm9rvL6xpsVFU66yd5Msqk8W043k0LsKQqmTO7xunJdxm0iaZP/Ghi/LeC60XdG/CQ0t0tEREREZNlQJ5cA8JbPPc94KE7nmHamW6z6Mhc1pU7iyTTd42FiyTQHOsdzXdaS2rCtjgOVFqhxU7W6hbVpK6eNJIEsLXlrcdk5OZW/AeIen4f+aIKUCa1uBwf9oSzGfZlntxgYQKHFRf2xBPsmp3hxZWmuSxERERERkSWgkEswTZPLIyFGp/JvSVKhaK5wU106vfvcoD/CyT4/FgPK3Q6Gg8vv+2qrdAIJAMaSKfZlOdJJ5HET1+4yL6eCEcLp6SIH4gmanHZ6Y4kcVzZ3x4MR1nldnA8V3tCzv+oYUMglIiIiIrJMaLmiYBgGD9/bmusy8p7HYWVnawW7WivwOqw33Vdd4uRo9yRHuycZ8E+HWmkTxsPxXJSac2Pnl3Znziq79e4HLTGvxWC1x8nBQOh6wHVNvu1UOBcuSyEutoRmlyPXJYiIiIiIyBJRyCUAPHVhONcl5KUVPhcra7zsaa/E47ByuGuCQ10TuOxW7mkow2LA7rYKjvZM5rrUvNLZ6ecep3NJrrW91E1HNP/CxAaXg0uzDGxf7XUV3IuvvUB3KXx01M+vn+7k0VE/kQIMF0VEREREZO4M08yvKSuGYZQBfr/fT1lZWa7LWTbO9Af48++e4dlLY7kuJS84bBY2NpTdNbyq9NiJJdOE4oU0YWlprFlfxcnW7A8sr7LbGMvSrK+FWutxcuEOOxJagGqHjeE7DE3PN7vKPBwKhHNdxqI0OO38VkstnZEYF0MxXlFVyq831+a6LBERERERuYtAIIDP5wPwmaYZmO04zeQSAO5ZUcbYVP51wyy15ko3K3xuRoKxOXVnjYcLZ67SUrt4boyta1dyPJa9mWRVdmveBVx2uOOOfwBpoNpuo9U1vZxxqfmsFlxWC06LwQqng/FEknKbjQOz1GIBbAXayXWjgViC/3ux7/q/h+IJhVwiIiIiIkVEIZdc9+K1NZwbDOa6jFmVOG2srSshmkhzZmA6uLUY0OBzU+G1k0qblDhtdIyGGJ1nYFfmsrG+vowj3eP0jOfvLn2FxFtiz/oOgu1uJ2OJ/Oou2unz8rz/7sHVmVCURqcdG7CUMZ0dWOlxcTQ4/X3rjk4HtQ4jzuYSN5fCUSLpmzt8t5d55vQ1FZoPr2mc1/EjwRjPXR7l9VtXMBFOUOnVvC8RERERkXyikEuu+/UXr+Sfnr6S6zJmtaa2hCPdk8D0HKzxUJzLIyH6JiP0Tb4QTDltBi2VbuxWC16njRO9/ruee319KQc6x7NV+rLU9rJmDmexiwsgn5qLvBaDLaUe9s0jDOqLJWhxOXBaDC7eYXnjXK12O7Ea4LBYsBjgtlhuCqcqbFaaXI7rAdeN4qbJyakIFqaXgFbYrFyKxLjP553X11RI5rIBwP8c6+PvfniRtmovQ4Eop/sD/NPTV+gaC/OVd9zHhgYtqxcRERERyReaySU32fgn31+y+VK1pU58bjuXRqa49jR02qbHcceSN7/53N5SztGrAdd82C0GrdVeLg1P3XR7hcfORDjB3vZKLg5PMR7SUs1M23ZfI89n8Ve40m4lkEyRzIOXsK2lbkbiSfpjC1u+uqPMw5EMzLvaXuq5LcBqcTlY4bTjT6a4EIrOq7vOa7UQKuJh7fUOO1/ZtpIGm53+yQira0qwXN1F0h9JsO/yKJ9/poODnTPvFtpU4eZf3rqbtXWlS1m2iIiIiMiyo5lcsiBv2t3Mvz7bmbXzlzptrKzxEooluTQSYjgYY3uzj0gijdtuoWssQiSRZH19KecGg1SXOFhVU0LH6MI6SRJpk0g8yZYmHw6rBYvFwDRNjvdMsqrGy/4OdW9lTYUDUtkLD9d6XDlfQuc0YGuZlwOLrONCKMomr4tToeiizpOa4UOL7mic7gXuPlnMARfAYDzB/3e0k7Pf7ySeTLOlycfP7WzCZbfyj09e5spdXnfGpuLXg3kREREREck9hVxyk+oSZ1bPf8+KstuCpaM9ty8n7BkP01blYcAfWXAQZQC72ytJJNMzDpG/PFKcS7DyQWmpg6jNIFtDuSzA4Rzt9FdjtzGSSFJqtVDvtC864AKYSqUJpBb/zYqmizuUygZbNEX8aufoiV7/nJY3X7OrrYLWKm+2ShMRERERkXnSR9Byk1dsqKWpwp3x8zZVuNnTVjnnwCoUT9E5Fia2iLVotaVODnSMz2mXRMmcTTvrsbykgWNZnMeVBmodS5vROw24x+sinE6z1+fFYbFkZI7WNSucix9iXmqzZqCS5SXkXvj3bMAfpWd89rA1Ek/RO5FfGyOIiIiIiBQzdXLJTdbXl/GK9bX896EeoonFd4XUlTlprvBwbjBA78TS7Vq4q3V6MD3B7A4+lxds3buCUJ2LQ7EYJLK/X2CZzUrfAmdgzUWry0HcNCm3WUmZJjbD4MzV5YT7s7BMcjEz9F2GwUqPk6nk0szTKyYxY+FB+qXhKf7026f52Ju24bBa+Oij5znV72d1bQmv3FDLfzzfjdNm4TP/a2cGKxYRERERkdlo8LzM6DsnBnj6wgj/fahnwefY1VrB4a4JlvoZ1lThXtJAbTlrbfNRvaqcca+Vs1neSfFW9/q8WZ3Jtdbj5EIGO7Xuptpuo8RmoTNy+/ys9R4XY4kkI4kk6zxOIuk03dEE9/q89MfirHA6cj6frFBtdzg5++3F7SprtRik0jO/0rnsFv7kpzbyi3tbFnUNEREREZHlTIPnZVF+cksDL11XQ02pk0/96NK8HruhoRTTNDnUNfOOZFLYDAuk07DzNW3sI8F5khDLfufWrbI5fWqD17XgYe0LNZpIUmm/fSbetTCv1GqhyWXnfDiG3TBY6X4h2OqJZq+jrdg5U4uP4WcLuACiiTRfOtiN12mlYzTEu1+5dtHXExERERGRmSnkkll5nTbs1vmNbdvRUs7xnkky8L5xwRLJNBtXlDESjNFU4ebsQJBIQsu4FstiNdh6fyMDFTYiaZPnErkNVrI1UNDK9K6CudhZsOTq75vbYrDK46TUauVgYDrICqbSBK/WlDBNrtzQ8ZVf/biFwWe10toRZiwczPq1TvT6+d0vHQPgF3Y30+DL/NxDERERERHR4Hm5i7fe38bKmrnvHhaIJHIacAEMBWOc7g8wHIzRNxGhxKUsNxO27F3BPo9JZyzB0BLM3LqbySwFl21u55J3cQGs8TixGga7yzykTDg1FWWfP8Qi9l6QGaxyOrgfOyvOB7hwdpSerlk7nbPiyfMjS3o9EREREZHlRCGX3JHPY6fB55rTsXvbK7k0kl9zgbxOGyMaPp8RfVX2XJdwk3PhKPf55h7AzsVKl4NkjuYUXgzHOBgIczAQJp5nsxKLSd1kkiOPdtJxeTIn13/y/DCXR6Zycm0RERERkWKnFheZ1VQsyZ99+wxHuiav3+a0WdjWXE48leZo9yQeh5XGcjcuu5UBf/4Ne6/wOmA0v4K3QtSwooSOeP7NfeqNxvHZrPjvsqvgvT4vaRPGEkkGYnF8NhsDt3w9LS47/lSasTzoUpMssixmH8vFe/T0EI+fHWZ3WyWv2FDLrz24csbjfu+/j/H2B9ppqfJwstdPpdfBhoZSDCO39YuIiIiI5DOFXDKrZy+NXt9dcWuzD6fVionJ/o5xAKpLHEyG41wczt+uBKveD2bE6GgY8OW6jNv0xBLUOmy4LQaRWYZ/7y7zcjwYvun+cDzBeq+LqVSKcCpNidVKPK2AazlIluT+P3vJtMm+K2M0lN/eJfvc5VHsVgun+vz88r/sp97n5uzA9JLKPW2V/OlPb2RDg3YeFhERERGZSe7/2pe81TEaotLroLrEwXAgyoD/5mV/o1NLP7dovvr90VyXUBQcDmuuS5jVcHw6mLq2C+GNLMC5UGTGAOxc6IXnxrg2Jlg2+ow0FqtBOtfDA4Hvnxrk914ZprnSw9mBAB/7wXmeujBC4obaJsIvdBwe6BynczR0PeSKJVOc6vOzs7VyyWsXEREREclHCrlkVjtaymmv8nK4eyLXpSxYmYbOZ4TDnv/j+w76Q2wtdeO2WEhjkjYhZZqcnlLQKS/oiyfYtbWWU0eGcl0K4XiKB//6R+xpr+QnNzfww7PDdzy+yuvgZetrr//7D756gifODVNb6mRVTQnvevkaNjflX8eliIiIiMhSUQIgs4om0gUdcAF4HHqKZ4Kvws1Arou4ixRwPHj7XLhNJS5cFgtHA2HUryUAk00eOJLrKl5woGOcA1eXgd/JinI3oVgSu9WCxYAyl51gNEkwmuTySIjffvnqJahWRERERCR/KQGQGUUTKf7hR5dyXcaieOwWRqe0s+Jitbb5iGwshzwcPD8Xp652cpVaLQRT6RxXI/ngUizO1o01nD89kutS5uVkn5+dH/4hGxrKsFkMTvb5r99nMaC1MrO7jYqIiIiIFJr8X4MkS27AH+FnP/3c9QHzhWp9QxmdY+Fcl1HQ1m2spntDKV0FGnDdaFOJO9clSB4xzdzP5FqoswOBmwIugLQJv/T55+fUESYiIiIiUqzUySW3+cyTl6/v5lXILIa2VlwsY2UZkXhxdMOdmgrjtVoIqZtLAOuqMjgzmusyMupUX4A3fXYfv/nSVXidNkpdNgzD4OF7W3NdmoiIiIjIklDIJddNhuP83eMXeeREvk9fmptgtPC7j3ItaBRut8utgimTSruFkAZzCdCVTmICxRiFf/rJyzf9u38ywq+9qB23w6o5hSIiIiJS1LRcURjwR/jeyQG6x8P867OdjIfiuS4pI3weR65LKHg1o8XxXLjGZdFLnkybTKZobVseOxF+5snL7PzwD3n3l47luhQRERERkazSR7rLWCSeom8yzKXhKd75//Joq7FFaK5047ZbuTg0RSCiTq6FcrlsrN5YzXi1A2LFE3QV8BgmybCNTie2suJ5bs/mJ7c0MBmOMxVL8ap76nJdjoiIiIhIVinkWsY+9Mhp/utAT67LyJiNK0o5OxAkbUKl1865wWCuSyo47avKKVtfyXmSHEqmiirgWul2cCVSPF+PLNz92DnyrSu5LmNJrK4p4fdetTbXZYiIiIiILAmFXMtYsYVAboeN9NVOnfGQurjmq6TEzugGH2cTxTFo/lZeqzXXJUgeqLfbOP69rlyXsWRevVHdWyIiIiKyfGhAzTL2X//7Xn7lvuLZdSuV1lq0hbJYDdpf2sxIIpnrUrJmrIi/Npm79skUqdTyea34i++eJZrQbgsiIiIisjwo5FrGXHYrf/jQeio89lyXkhF9ExF2tJRT6S2Or2epGBZY9ZPtHCzSDi6AVpeDcps6uZa7nQ4nR57pzXUZS+rZS2P8z7G+XJchIiIiIrIkFHItY4lUmld9/GkmwsWxtG84GONI9yST4QSrarzsaavE7VCwcTcrGks5GSvegMttMRiJJzkTiua6FMmx+EU/Rq6LyIFvHu3PdQkiIiIiIktCIdcydml4ipFg8YUbaRMuj4Q40DnOmpoSAGwWg+oSB40V7hxXl19MoGR7Ta7LyKptpR7C6XSuy5AcqbJZ2W13ss3hZCpQfK93czEUUMArIiIiIsuDBs8vQ0+cG+Lf93VxeSREPFXcb/5NTFx2CyurvZwZmB60v6etkgOd4zmuLD9s3dPAgSLt4rIAW0rdLJ/pS/NjNwxq7Tb64sXRyXlNg91GEqiyWKiYSDA1EuLkubFcl5VTadNkbCpGVYnzpttHgjEcVgu+IlmyLiIiIiKikGsZCceT/Of+bv7lmQ76/cvjk/2TfQGA6wEXwLJcrzQDl8vGZL0LYvFcl5IVjU47LouFaDrNKreTy5HiDPMW4l6rgyvP9jHmj7NrRx3GCu+MM9lWOGz0xwtnYH+d3cbUD3pIxNMEgc5cF5QnOsfCvOM/DvO5X97F+cEgp/oDvHhNNX/0jZNMhBM8tKmed718DQ6bmrtFREREpLAZpplffQ6GYZQBfr/fT1lZWa7LKSrv+/pJ/utAd67LyAt72is52j1BYhntsnaNzWawZkM1E21eOousi2c2TU47vbHl8bXeTZPDTuiHvUQiL4RXZT4HsQfq8F/t7Gx02Km6FKS3K4Dj5SsYnOfOlAbkpINup8PJ6W9fycGVC4PXYSUUn3mnxVU1Xn7jJav4+Z1NGIY+CRARERGR/BIIBPD5fAA+0zQDsx2nj22XgX95poNkKk1LpSfXpeSNAx3jVJc42Lhi+QWpW17RytEVjmUTcAH0xhLc6/Pmuoy80OJP3hRwAQT8caLf7aH1xCR7xtNY949w4ewY4XCClYn5BR47HE4aDo1TZl36/7xElM3c0WwBF0zPMfyjr59kKlY4nXsiIiIiIrfScsUiF44n+cxTl/mHH13CZtU7wBsN+GNYDIMyl41AdHm8sTMsEHNYoDhXKN7Rfn+IBqedgRx1dO1wOHFOxJmstGPHwDsRx7AYdJdZ6V3CwNGwz7zjqAEMDYQYGgjddPvIuXEs60uZy/S+vTYHZx/tJB5Ps95q51hqaZeIlk8un+A2G5Jpk0F/lFKXZnSJiIiISGFSyFXEIvEUP/XJZ4pyB8VM6ZuMsqe9kgMdxT2Iftv9jaQqnVw0kxyOL8/ngwnUOmxZC7ksQJnNymQyhctiEE2/sGDvXquDo9++cn0Z341xc02NB/euSiLppVngN+y13FbDnfR0Bbh3fSXPcefv2/3YOfydjuvnTeYgU0+U2XO3VrIIbGsup6FcO9CKiIiISOHScsUi5nZY2dtelesy8l7fRJjqEgelzuLNfJPRJDELTCZnX660HJwORijJ0jK6e9M2It/pZtWpAGXPDvNA0kalzcpeq5OO5/qvhz+3Zj8jI2FW2x3X/11rt7Hb7uQep4NscF0IzHvvhY4Dg9TYZ/79qLHb2N4f58ijnTedN312YsE1LtTBRIztr2lf8usWi6YKNyVF/DooIiIiIsVPIVeR+z8PrafKm503y8WibzLKRCjOVCzJjpbyXJeTFaeODDH4VC+NjuW9DCkJtLpv/n3Y6HSwwemg2WHHbTEWtPlmtc1KoDuIAfT1BQkE4hx/qpuGC0GOf/cK/sk7d885uqfwWa3cH7EQebSHk49cIX1qgtVZCLq8Fa55P2ZiIsqa2O3fGSuQfLyPsydHbrvPt7p8AdUtjt0wCHb4l/y6xeJI1wSdo6G7HygiIiIikqcUchWh3okwP/2pZ4jEUxgGfOFte3JdUt5LmdMrnOKpuUweKkxWi8FUanl3cmGa1MfgPouD+9M2tg8muPytDjq+1cHII52kv9fLDodz3qddm7Bw6fzNS16TSZPLF+fWzXT62DCpH/Rw5OkeEonp52DnlUncF2bdNGRBWhx2Th7oX9BjjRl24m1zOm4bYn9N1Lb06xV3WB23/Rxk7vr9UX7nS0dzXYaIiIiIyIJpXUKRGAnGuDAU5O8fv8i6+lKC0SSv+9QzxJIpooniDW4y7VRfgLV1JVwYmsp1KRljAtvvb2Swys7AMtpRcSZtKQvPPnJ55jvN6aWEHY/3cN9Lm9iXiuOyTAc10TvMy2qw2zj5aPeia0smb79Gb5cfT7uHcDpzv8MLHVfVcXSYe/fWk7QaHIrHqLRZcZ6bvWvKHV/a1x2PxUK0M7Oh4HJ0ss/Pa//ux7zjpat4/dYVuS5HRERERGReFHIViQ9+6zTfOTkAwP4iH6KebW6HlZ2tFUQTSWpKXVwZmaJ7PJLrshaksspN1QMNPB+LwTIPuOYqHE5w5Lsd3LO2kqG+IOFIgo2rK7FYDEpbS+lxQF1/FLvbRiqWoufS0PXuq0xrXV3BsUUEXPcGwOK2QtLELLER7w0znFpYzDU+FmH8ux2YwMa1lXRdmeDKDMHcNaHeEDQt3VLp7XELh0+PLtn1ipVpwpmBAGUu/XkgIiIiIoVHf8UWid94ycrrIZcszvGe6e6UrU0+DndNsKG+tOBCrvbVFZSuq2DQkuZkbHnupjgT1xzzHQO4cuGFsPjy1f9tnhtjzYoSTvUvTaefp8IFzD3kWuN0YD01gXdjJdFzExyb43LJ+TB44ftxJ+dOj3BfSzv70vGM1zCT2ER0Sa6zXLz/G6f4n99+gOqS+S/fFRERERHJFc3kKhIdGhacUW1VHk70+QlGk1waCRXUQPqmljI61ng5kIzRre6tm5R1hhf1eAOIRZZurtm5Q4PcZ3Hgsdz9pXqv32Twe110Xpnk9LevzHkeWLYYQGI4u+HwFqeT+ywOdo0kOXlkKKvXWm76JiN87sdXCMdnnrkmIiIiIpKP1MlVJA52Fu8SRV+5k7YHGum3pGkJpRm94qezc7rbKhujrXe3VdAxGuLanO3xUJzxUJy2Kg+dY3cPSepKnTRVuEmkTE70Lf1Ob7ZtVURjS9M9U2jGJhcfusSSSzdrKhxOcPR7Hex8eQvP3mVjzMBoJGvLJhdqYjjEzhU1uMIp0g4LQbvBqRk6C+9P2yBhErnajZWIJild5WNfavbn8QNJG4cfvXL930s/5r74ffapKzx/eYxVNSWsrivBH07QXOnhf93bmuvSRERERERmpJCrSDht1lyXMCuv14775Y00pQyssTRXjgwxMY+lRQ67lUFLmp54gh47sK6E++6pJG0Y9Dw/wPjY4oOLFeUuhvxRdrRWcLBz5g6YSq/jriHXuroSeiYiHO6epMRpY01dCReHpqjw2JkIZ7GryoCN2+qIhRM4TL3dn4k3DX0ZWHaai+/uoSe62bm9DofHxkCVnc7Yzc+l7Q4nZy715V3Q09cTpK8neNNtWzZUMbm6FH8qRbPNTslojCPPdd322B11HnDPfu50VB1GS+F4r5/jvS+E9S67hbfsacFqybdnm4iIiIiIQq6i0eBz4bBaiKfyq5MDoKraw4V4gl4AG+x+YAUTj1y528OuGxkJs6k3QlftC0/Xax0ee+5rgOcGGF9EeLGzpYI+fwSLxZg14AII3OFNtd1qsL2lgkOd41zbiG8qluTi0BQeh5VANMmu1gqGAtHrM25sVoO0CcPBKD13qX93WwWRRIqpaPKmoM3rtVP5iibGUykOJ1OADeKawTUTG7DYhYZuh5Wh4NJ/fw3g9NHp5Xj3bK2lprkE/8kxymvcRMNJQuGpvAu4ZnPh7BhbgkmGev1cusNxht0KzPw7d3/CyskDvVmpT+4smkjzg9ODPLS5IdeliIiIiIjcRiFXkfi1B1fy2s0N/PZ/HuFI92ROajAskE7f3uniKb15h7WjyRgVpQ6CwbktqXO7bdjcMz9VDyRiOPZUsdHuwDUeJzwZw0ybjAwGmZiYWxgxOhUjFEuSuMuuc5dHplhd68VuteC2WwnGkrhtVgwDroyGODDLrpbh+HS0cqhrOkDrmbg90NrTXsmRrnHaqksIx5I47dab5qwFo0nODQbZ01ZB2Uofl8+MsnpzDQd9BmNamjgnayMGJxd5DqthYDVggRsUZsSZ48NwfBiA7q6lXw6bCS675a6hXMBrhdgLIZfPamXDxPTv0pF93VmsTu7mvV89wYaGMtqqvbkuRURERETkJoZp5vDd2gwMwygD/H6/n7KyslyXU3CSqTQ/ODPE3z52gYvDmdsBrrTUQWW1B8MAd4kdd7mLo8/0YKbBYjXY9spWztvSrMZK5EqAqUCcqakYq7fW8pz79ufYOqcDBwYRTNwY2E2InZ+8bde2dRtr6Gh1EZhHh1qlzYrtmUEC/rmHP5sbfZycw/wsw4Bs/crUlTmxWSz0TUbY2VJBKJ6k7Gq4d6BjgrWNZcTX+ThnT9NgtzGUSM5j373lyWqapAwDm2lS9eMR/JHFLxltKnfTm4HZXstZqctG8C7LDddtrMZYWcaxq52Je61Ojn937h2gkj2v2VjHZx/elesyRERERGQZCQQC+Hw+AJ9pmoHZjlPIVaTe9I/7OJCpYfQGbHntSoataVwYnLvaOeSxWNiWtGDaLOxLL76bqNFhpzWQIjIRJTAWxeGycnb1/DsFtjqdnP/W/N4M15Y6Gc7BMrQ7uRao+dx21jaVcXK1h8m0Yq25WpswGH92EIBVzT6OXxpb9DlX1njpHA1dX5Iq81fptTMemnvYuONVrSQnYhw/NFgwSzKLXanLxvE/eTUWzeUSERERkSUy15BLyxWL1Jv3NGcs5Fq1ppIDydht43HC6TTPWdJkqp2oL56gzwU0OHA2OimxWCA5/ylKx2Mxtr9uJZbe0PU5RrfyuW3Ulbm4MDTFzpYKDnfPPosrV0wT9rRVcqBznIMXx1htMQm3e4jnWTCdj+pTBgNP9V1fgpqJgAug0uPgihm6+4Eyq9W1pbMu7Z3Jkcemh9IrTskPa+tK+MDrNirgEhEREZG8ZMl1AZJ50USKv3/8YkbOVdfg5Vz7HbY4y5JY2mRsAQHXNUfjMY7U2ti6d8WM97dXe+kaC7OlyceZgVlD4Lxy6fw4a66Eqbcrm76b1eN3n7G2EJHEYkfXS8doiC2NvlyXIQs0MBnlgdXVuS5DRERERGRGerdcpG7cgW8x4tEkhgEUYPNQaRq8bhutlR7iqTQVHgexZIpIIsWxnun5Wyd683twd/qWrq3LF8bx9gXZ9vJmLqcSBPNwN805M02a0hZK0uBKQcl4nMtXJmhvKedCk4PRBUbwdWmDUyeHM1vrVZG4Qq7FGgnGmIol2d7s42hPfv/+ye1qSp3Ek2kcNn1GJiIiIiL5RyFXEbJbLfzRa9fzF989t6DHO51WGhpL8U9EqKzxMlBgAde9QZh0GfQ/3c9zyRdCoAF/NIdVzV99mYuhwO01h0IJzn37CpWVblpr3JTWeDhRZhAqhMDLNMEwcKVN1pwOcrE/yOgth0ycHcFyDja9pIlTzvk/+UpT4E9k53tR4tJLZiZE4imO9vipLnEwOqXdQQtJx1iIsVCMBt/Sd/iKiIiIiNyNPootQlaLwdsfaJ/34zweO1vvXUH6FSu4sraE8H11dK4qvC3iDaDrR73EkwUQ+txBS6WHnonZd/EbH49w6fw4R5/pxXy0l/uxs9rpWMIK5+/BkTTNKYOWlIWL/cFZj0ubED0xjn0BAeug1cxal4ndopfMTGqtKrzXl+XONOEt//Q8Pzwz87xDEREREZFcUltCkTKZ3pXPH5nbLmY7XtrCUJmVS6kUwauzsOKpAlyaZZqMXfBTDLPZr4xOzfnYdMrkyKOd2B0W3K9YQSQPt/8rNeHg0UFKXTZc3ruHcb3jYVxUMPd9+Kati8HpLAWcZwYClLpsBKPJux8sd5Vvu/vK3HSOhXn3fx/DZbfwqV/cwb0rq3JdkoiIiIgIoE6uomW3WvirN27B47DO7QFOC5dj8UUNe88LhkFdc2muq1i02lLngpZxJeJpNvTH83InunWR6aqC0SQ9c5gZ53VaCS0gBDF6MjOPbiaRRIqqOQR0MjeT4flGmJIvpmJJRqfi/POPO3JdioiIiIjIdQq5ithPbKrn4fta73jMmvVVVFd7iDn0VMgn1SXOBT/29PHh/NonwDTZFjXoOjg4r4f5PA7Sd0rrTBOnCW1JgwcmTe7tiHJfZ4xTHROLq/cu1H2UOVdGQ7RUerBb8jGWlbmwW/WzuyaZSjMVU5eniIiISC5puWKRe+OOJv59XxfhGXaF23Z/I1cqbdSt9XE4FstBddmRdFuxWw0SqcINIxYz4Hz7fY08P9t5rRYiqTRL1q9nmjzQl+Dw6ZF5P7R/IsLeUCX7S26/b33cIHRolJFgjEFgfvHZwtSWOmnwuTie5ztyFpru8TCbG8s42RfIdSmyAGcGApimiWEUf9hlmian+wNsXFF229cbS6Z4138e5Ydnh9jaXM4fvGY9963SMk4RERGRpWbkW1eCYRhlgN/v91NWVpbrcopCOm0yFIzytn89yLnBICaw8XUrORIvnmDrVhvjBlee7C3Y2Vzt1V46RkMLeqzXayf64npC6ZvnUu10OJk4PExJuYvTzc4lCbrWJgy6n+hd8OPbar1UN5QQL7HR6zZYOZIAu4WBK5P0jc8+lD/TdrSUc3YgQCRLuzYudxUeOxNauliQ/u9PbuDXHlyZ6zKyqmc8zKOnB4nEU3zssQtUeh3Ul7l450tXUea28+I11Xz8sQt88olLNz3uTbua+LOf2YTTNsexASIiIiIyq0AggM/nA/CZpjnrJ+QKuZaRkyNBfumfn8dMg/OlK+iNF++bSm8aVhyZmNPsp3xU6XEwHp7/TK5rtj/Uzr70C49vdNhJPzPIxEQUgE3b65hq9nAutvBr3Mm9QbDH0nRfmmDIH83KNZbKliYfJ9S9lVXz2SRD8suB97+C2lJXrsvIuKlYkoOd4zxyfIDvnxogNEM39DUlTtusyxS3t5Tzjd98IFtlioiIiCwbcw25tFxxGXF67CRfVE/SNBkpwoDLkjbZ2xXD6nNyptxSsAGXw2YhtMifz5V9/ax58QpqImmGzo0zPBQiEX+hC+nU0SG2e5pghqWAi+VIw5kDA8SztMPhUnLZLZzt1zK6bKsrcyrkKkCGAV8/0sc7XrIq16VklGmaPPCRJ+b8nLzTHK76suILAEVERETymUKuZWQqlWK80HdPnIlp8kBfkoH+IEcnppewNVV6KMSIa3dbBd1jYYaCi1tK6p+MEX+sh57I7G++jj/fxwMvbeFZ2+3H3BuE5xe4SeXOKThaBAEXQNoEp81C4g5dHLI4dquBz23PdRmyAKYJ3z7ez+62Cna2Vua6nAX5zJOX+dyPr/CeV60lmkjRVuWlcyyUkdD1nS9dxe+8fM1tt49Nxfj0k5f5yS0N7GipWPR1REREROQFWq64TCTSJm8+fplnJ6dyXUrGVafB+sxwwXeCNFa46ZtYujlTAE6nlcrXNNMRm/7e+awWNobg8FM97LhlyeNc7A4ZXNo/QCRRHKHQztYKDndld7fG5arUZWNVTQnBaILLIwubPyf5YU9bJZ9/6y5KXYUVVqbTJi/5mx/Rk8X5frWlTkqcNn775at5w44mDnSM87//7RD+SILWKg+PvOtFlDhtGIbB4a4J/nN/N2/e08zutsIMDUVERESyRTO55CYPn7jCY2PFu+yqMm2w8lKIUx2FG0isqyvl/FBwya/rLbHT9rJmxkhT3R/l1OHpvQobG0ux7aymM5EgljZpdthpDqYhnSZZ6uBA8uZusw1xg44fLXzIfD6xWgw21JdySksVs2JveyWHOscp4A1Q5RZ/9Nr1/PqLC2vZ4pHuCX7hs/uWZCdem8XAbbdS53NxafjmD5vesKOR9iovX9zXyejU9AcL73/tBh6+rxWXXUPrRUREREAhl9zioUMXOBosxAV8c3dfZ5Sj58dyXcaClHvsBCOJvHzT39hYSs3Wak79oJNk8oUCN+2oo3uFi+FEkhUpg6rTfi4OLH1Ilw2ra0tueyMqmbGmtoSL+t4WpZMffDVXRkJ86keX+N1XrGFToy/XJc3qL793li8820ksj5dW72yt4LMP76S6xJnrUkRERERyToPn5SaBYpzFdYvhRjdbkpWcuDye61LmraXCw4lwfu7g19cXpK/v9vDq1JEhavu8vKKtnIOH+xnP4zeLc9Fc4WZFuZtEKo3dauFSrgsqUnca0i2F7Vf+5QCD/ij9/ij7r4zx4z98ed7OW9t3eSyvAy6Aw10TfP6ZDv7wJ9bnuhQRERGRgmHJdQGSfT3ROJcjixtkXggu202SjZ5clzFv6+pLOdGXnwHX3QwPhThxbJDNK3xUePLzzexcbG3ykTJN9neMc6R7kv0dhReUFgqHTf/ZKVZHuifp90cBcNqtOPP4Z/3L97XluoS7qvDYeWBVda7LEBERESko+fsXqGTMY6OFGaDMl8008Z8qvOWK+drpMFfBWIrD3RNMhBPsaS/MncLsVgv9k9Fcl1H0akqdOKz6z85yMBKM8cBHnuDZS6OE8rB77yVra3DZ8/u5+JqN9bxojUIuERERkfnI77/wJCNi6Twc9JRhLtNkd1ecvizukpUt/vD8djDMZ+n8Xv0zK8PIdQXFb0uTDwM0j2sZGQvF+aV/3s/rP/VMrku5iWmafP/0YN4vV2yuLLzOZBEREZFc00yuZaDeWdidQndjM002X4pw9Eph7qxY4rLTVuWhc6zwNwYIRhO5LmFBBgNRrAZ5Ofi/WASjCUqcNoaDxb90Wm52eSTEc5dGuX91druSTvX5aa3y0DMeoWssBEBbtZe1daUA/M6XjrKzpYIfnh3iucv53/W7v2Oclsp+9rZXUlvmmvEY0zQ52ednVU0JXqf+pBMRERHRX0RFLmWaPDIymesyssKRhioTas9NcbJ31s0V8t7hrgmcNgutlW66CrAT7UZ9kxFqS50FF2T0jEfwue14nVYtW8ySRMokvgw2wJCZfeVwb1ZDrhO9k/zS5/YTT6Vv69BqLHdTU+rkWM8k3zkxkLUaMu3pCyM8fWEEq8Xg7Q+0cf/qaj79o0t0jYWpLnHy+m0reOLcMAc6xmmr8vDd330Qj0N/1omIiMjypr+GitwX+0b5zkjxzeTaOwVn9w8wkUxTmP1bN4sl05R7HQUfcq2sLinYIfr+SIJVNV6FXFmkcVzL1y/sbs7aubvHwvz0PzyLOUsnZt9khL7Jwn1tTaVNPvfjDj73447rtw0HY5wZeOHDnUqvA5fNmovyRERERPKK3nIUuQcqSinGcUP2qSTxPJ+nMh8VHjtXRkK5LmNRtjWXF2zAdc2R7kk2N/rY3VaYA/TzWe9EBLe6TJYlwwBLlgbfmabJX37v7KwB13Kxs7UCi6UY/2svIiIiMj8KuYrEuVCEvfvOMHXLcqA1HicV9uL6dNeXhuOnhnNdRsaUumyUuWwEo/m3A9l8OKzF8QbrZJ+fg50T3NNQRoWnuOfZLbX+Au6mkYUzTXjy/HBWdln8f/u7+d6pwYyft9CMTRXPBiYiIiIii6GQq0j8z9AkXdE4XdGb/9CdSKSYTBTXHBy/BTatqcp1GYtWXeKg0usgmkgV/DJFoOi2KDwzEMDtsLK3vTLXpRSNWDLN6hpvrsuQHPj0k5f56X94NmPnS6VNPvvUZf7kf05l7JyFqsJj52d3NOa6DBEREZG8oLUjRSBtmvznwPROUe843Umdw0653co/3NNKlcPGtjIPRwKFv3PfjQp5WYbNYrBxRRln+gMk0sWzxiYSL64wFaB/Mkr/ZJTtzT6O9hT2Usx8YJowFoqzp62CzrFwwW1QIItzaXiKj3zvHO986SrKXDb+80A3aRNev3UFPvfcuia/f2qQrx7u5Uy/n37/8p6fd+/KSv7vT94DwKZGX46rEREREckPCrmKgMUweHdbPX96qY+L4RgXw9NvHFuuDPJTNT6OFlnAhWkSDSdyXcWcrK2b3tbdbrWACSYm/ZNRjvcWX2ASihf2css7sVjU9JopE+EEBzonqC11sqa2hIvDU7kuSZbQPz51mX986jKN5W76JiNYLQY7WyrmHHL94PQgPzw7lOUq898v39fKe1+zjlKXllSLiIiI3EghV5F4W2M1PpuV3zrTxbXeoE/3DPPpnuKYXbU9YuCNpLnks7BmNMXZwfx/Y2y3GnSOhnDaLARjxdfldKtqr6Pgh+fPpoAbB/PWcDDGcDDGztYKDncVwx6pMh837nY4nwy5qsSRhWoKz/2rqhRwiYiIiMxA7QlF5A11Fez1Fc+8G8M0WRe3sCNi0H9wiEMH+/E/3svBY4NMFcCQ9kTKpK7MhdthY9UymEN0oHOC6iJ8A7ql0aduoyyyKUFc1lJpk7f968E5H/9zO5vxOoprM5X5sloMdrZqVqCIiIjITNTJVWT2+Lw87y+wbhrT5EWDKcxkmliVE3coRSqSpLPbT1cofuuhBaVnYrpbwess/l+1lko3vRNFMED/BlVeB53jIQKR/A9VC5HPbb+po0eWp/FQnM88eZmH72tlIhTn7x+/SFOFh9995Zrbjj3ZN0moCOf/zUcqbfLEuSF+YXdLrksRERERyTvF/857memNFcasqmt2Rgxs/REOXRrPdSlZVeYq/l+1aCJNW5WXK6MFFrLeQXOlh2M9k7kuo+iUumysry9ldCpORxE9X2RhYsk0f/X9c3z00XNc24uj0utgW0s5L1lbA0A0keKxM0P80ddPsqmxjFN9gRxWnHtPXRhRyCUiIiIyAy1XLDJmAbU6bYgbnH66l+NFHnABjE7FqSt15rqMrBoOxnDai+sl5XS/n/X1JbkuI+95HFa2Nvnwue14HNbbZphVlzjY3VbBztYK9rZXUl3i5GDnhAIuucmNm82Oh+L8yr8c4MuHegD48qEe3vVfR4mnTPrV/cfGFdpNUURERGQmxd9essz80aoVfHtkkmQBZF1VoTQduS5iiVxbklXmthX10rfhQCzXJWRUImUSSaTZ01aJYUDaNDk7EGBqGWwkcDdlLhsbGspIpNJMxZLXdww1AMOAFeUumis8pNImh7omGJ2K3/mEIjP442+e4j/3d3O8d/L6bV6HjfFQYXUtZ9qZ/gCmaWIYmmknIiIiciMj3zp/DMMoA/x+v5+ysrJcl1OQPt45yF93DOa6jFkZpokJ3B+AI8/357qcJdNe7WHQHyWSSOe6lKza0uTDYbUwFIxS4pwO9Ypp7pLbbmVDQykneidJFvePclZuh5XVNV5OLvMlY5I7e9sr2d9R/F3Ad/LVd9zHrjYNoBcREZHlIRAI4PP5AHymac76RqS41hYJAO9orsVrzc8f7YsGkzTuG8P9WP+yCrgAOkbDeJ22ol+2eKLXz6GuCXrGI5wdCFJVZDsuRhIpjnRPsq25Itel5MymFWUKuCSnggWww2629UyEc12CiIiISN7JzyREbvPoxWEmEnf+o/5rg+PseO406398klAqP1tMxgZCjAZjBbdLYqaMh+I4bMvr127QH6WtynPb7VXewg6/Eun8/B3Lpi2NPva0VzIwGc11KbLMJZfh79+tYkXeFSwiIiKyEMvr3XaBGgnG+MBXT/LSA+f4yJUBRuO3h13hVJqPdg7SH0sQz+MEyb+lPNcl5FTanJ7ztJwMB2P0jIfZ3VZBS6UHl93CpsYy6n2uXJe2KAYGzRXuXJextAw40DFObxEtP5XCdGFoipXV3lyXkVNPnh9h0K/AWURERORGmsmV5/7gq8f5+pE+vE4bQy+uBeBna8v5zZZa1npdOC0Wzoei/MyRi0wk838Y9osmTA4dWF7LFGeypcnHqT7/TbuJLQdraktw2CycHQhgMcDEIFXg34Q97ZUcyNPZQD63nTW1JfRNRgjHU/gjixvWvbauhAtDUxmqTmR+bBbY0TK9CQTAxeEpxkPLe0MDiwGbG31say7nT396U67LEREREcmauc7k0u6KeezKyBSPnRkimTbxRxLYTJOkYfCN4Um+MTyJ1YB7vG56o/G8D7jWJgxqhuNcvDyR61LywoleP1ubfNd3pFsOtjT6ONnvv75UdVVNCReHCz8wOdAxnrdBV2uVh8NdE5jArtYK4sk0gWiCSq+Doz2TmCY4bRaaKtxUeZ2MhWJ0jIZmDV99bvuS1i9yox0tlRzozL/fs1xKm3C8108kkd9/A4iIiIgsFYVceerpCyP89n8eIXB1uG65x44fgxsXKqZMODmV38uG6tIGK3uiHD03Sneui8kzx3v9y2aHsG1N5Zwe8N80i63CUzyByYGOcXa1VnCqz080D7ZcdNutrG8oxXKt5QU41PVCwNw5FmZrkw+HzcLF4Skuj4S4PBICoK3KQ12Zi5GpGFeu3naNgYHIUvPYLYQTac3huoPFdmmKiIiIFAuFXHnoSwe6+ZNvnSZ+w5vl+ioPgwX2/nLdkUm6RkIczXUheWx/HncBZcLe9kqujIY41jt50+0GMDIVy0lN2XKoawKrxWBPWyU9EyEG/Ev79e1oKcdmtZBOmwwHoxztnrzj8bN1EXaOhekcm961bUW5i/oyF2cHgkQSKfo0i0uWkN1qcE9DGcd7/ayrK1WQcwc2i4VU2sRqKbA/FEREREQyTCFXnjFNk08/efmmgKtQVdd66LqlE0Rud6BjnN1tFRzsLK6lnLvbKjjQOT7jTppbm30c6ym+pZqptMmBznHsVoNdrRWcHwwQjC3NMiKrxch4WNo/GaV/Mkql18GutgoOdIxl9Pwis/G5bVR4HNfD2PNDwRxXlN8++nNbFHCJiIiIoJAr75wZCNA9Hr7t9slADEwvGIXzR+xwnZPSyzaC0dt3g5SbJQt8+Po1a2pLKHPZSWPOGtrZLQan+madE1gUEimTQ10T7Gmv4EBH9sLLzY0+4qk0PredQ1mcVTQeihNPpokli+N5KvnPH0myrr6UnolIwW9OkW2lLhsbV/hyXYaIiIhIXlDIlWe+d3JwxtsH/VHWHfUzuK0cv2WJi1qgi3aTlgfqqT8b4GJ/cYcai9UxGmLjijK8Thtn+v1MLVH3TyYYwLr6UqwWg9Nz+Dl7XTYmw8tj2VE4yz9Hj8PKyY6l6YibiimslqV1oGOCXa0VN82Tk9t9+Gc24SuiGYciIiIii1EgccnyYJom3z05MOv9XSMhmk4FqEwXTjdXt83k5KYS2l/WxKr60lyXk7cmwwlO9wcIRBLECmyp6vaWcs4NBucUcAF4HdYsV5QfLAZ4ndn7HMFiwFRsacLCpgo3F7RcTHJgMBDNdQl5b097Za5LEBEREckbCrnyyLnBIFdG7zzD6vJAkDUdYRyFlIMYBmcdJhVtCrnuxh9JkEgV1tKcoeD8Bqw3lnuyVEl+qfA4Mrpzpt1qsHFFGQCVXjt1ZU5O9y9N8FTitBXc81KKQ3qmoX5yE7tVf8qJiIiIXKO/jPLIke6JOY3cOn5pnAqzcLq5rkmORtnRUs66OoVds2mscFPpceS6jDnZ1FhGXZmTvgntuDeTsVCc9RnsXtzWXM7ZgQBbmnxMRZNLunujpYBmAUrxqC9z0rRMQvHFKNbdeUVEREQWQiFXHvmlva08uKZmTsc2Xwpx/y2jeCxpkxu3sqtLGbxoPM2WU0F2nAvx4HCKurRBqQkrUgYb4gbOJfqQ/L4gnLg8zpHuSfomI9zTUMqKchcwvYtWW5WHulLn0hSTxw51TrC6zpvrMu5qb3slZweCDAXmH7REEstnttNUhjZd2NZczsHOCdImnOj1E1/irqqLw1qqKEtvRbmbA1ncUKFYXNuNOZlKc2k4SPdYGFMdcCIiIrJMafB8HvFHEuy7PDqnY091TrAymsC9xcemsIExEObUlXEqSxw0N5SSrnUzeX6CQyM3LH/sAqfNQiqVZgIYN2HXxhpG6pwMWk0CFmhPGvRZTOIZjD/vDcLxfX1c2yBrKpbkzEAQu9VgZ2sFFgMOdk6wrq6UkakYy30jrSsjIUqc1rwdPm8xWNQyvJN9ASo8dlbXlmCaMBSM0jN+czeY1WLMuKNaa5WHujIngUiSc4P5H7zUlTnpnVxcp9u25nKO9UxmpqAFctmtJFLLJ5yU/GCog3BOTvf78Xns/NX3zl1/XXz91hV87E1btZRRRERElh0j3z7tMwyjDPD7/X7KyspyXc6S+vqRXt7z5ePzeozNYpBcRCrksluIJtLYLAYrG0q51B9g57Z6flxjYU5rJ+dgb8jg+DO9czp2T1ulPrkHNq4oXbJ5S/O1vbmcoxkOXba3lHO0e/qce9oquDQcYk1dCUOBKKUuO1aLweWRKYJXO6NaKz2MheJ5v+NfU4Wb3kUu59zTXpnz5Ug7Wso5cvXnI7JUMvH7s5yt8Ln4pXtb+a2Xrc51KSIiIiKLFggE8Pl8AD7TNGfd9UwhVx759X87xA/ODOW6DADuaSnH1ejlUAkvdHWZJjujFpxxE9OAfXP48axNGNhOT3JlaGpO13XYLDSWu+m4ywD+Yud1WKkpddI5Fs51KTfZ1VrBsZ7JRQWrs9m4ogyPw8rBzok5HZ/vgWil1854aPG7H25p8nGi13/3A7Oo1GklmKedhVKcFKxmhsNm4fyf/YS64kRERKTgzTXkmlcfu2EY7zMM46BhGEHDMIYNw/imYRjrbjmmzjCMLxiG0W8YRtgwjO8bhrFmYV/G8nLfqqpcl3Ddme5JjuzrY9VxP2sTBrvDsPbIJKef7uXI8330nR7j3jk0Gk3tH55zwAXTs0VGgjG2NvkWUX3hC8VTlLntuS7jNv5IIisBF8Dp/sCcAy6AI93jNJW7aavKz8HUq2tL8C3iZ7i+vpTGchcncxxw2a0G4bgCLllaI/PctVVm5rRpuaKIiIgsL/P96+clwD8A9wKvYnqm1w8Mw/ACGNMfFX4TWAn8NLAd6AJ+eO0Ymd2hrrm/wV8qHcNTdD/Ry8kf99E9+kJX0XAgijWQwJWe/bE20yQYnX8ny1QsyfFeP+vqStndVkGlx0F92fIbSh9L3OGbu8RaKz1sbfJxcXjugWW2JdPQOxmhtszJ1iYf25vLcdzyhs5uzU33QluVhwMdEzT4XGxZQGBb7rEzGIjSNxkl172221sqWOI59yKkzYytmF/Wghna/EJERESkUMxr8Lxpmj9x478Nw3gbMAzsBJ4G1jAdgG0yTfP01WN+8+oxbwH+OQM1F6V4Ms0zF+c2dD5fHD41zPZ4FfvaXTPebzMNGqs8dA4vbOnh+aHpVjGLAStrSthd6SGZNq/Pbip2Xqc11yVcV1PqzMsQFuBAxwt1bWsu51SfH5/bTlu1lxM9k9SUOGmv9nBpJMR4KJ7VWlaUu6gucV4PKK8Ngd7S6KNjNERwDjPE2qo8lLnsnOjLbQfXdfMIuNx2C1uaykmmTSwGGBj0TUZwOyxcWuDrgCxPFR47fYvctEFERERElp/F7q54rUXh2mCca+020WsHmKaZMgwjDrwIhVyzctgsfP5XdvEHXzvBlZHCeTNoKZ+5w2p93CBxfIzO8cW/SUmbcOmGDqL6Mhe1pU6S6TRuh43xUByLMd39crhrctHXyxdaIjZ/x3omcdoMpmIJDl8N5UamYoxMxZZkgHttiYtjvZO33X6izz/n69eUOue1bDPbpmJz78bc3Fg+686bLruFLY3leT1HTfLHSDCG3WqQUBvhovzeK9dqHpeIiIgsKwsOua4uTfw48Ixpmqeu3nyO6eWJf2kYxm8AIeA9QD3QMMt5nLwQjgGULrSmQjYVS/KLn9tPPJU/S9Tm4nKZhVtbPQzTZGzfUNaWSQwGogwGojPet6mxDK/DNusb7ULiceRPJ1cqzzaouJNYcuZaO0ZC7GytuB5+ZdqqGi+DgdlD3Z7xuYXXXXm22cDF4SnW15cSjCVZ4XMxEY7f1pXlsBqsrCm5Y4AVTaQ50DlOhcdOY4WbdNrkzEB+7iAquRdJprI2/285+amtM/7pJSIiIlK0FtPJ9SlgC9MdWgCYppkwDOONwOeZ7u5KAT8EvneH87wP+MAi6igKj58dKriAC2D1ZIrN4RRRj5Wkw0K8L8RkMEZfjuaAnOoLsKe9MifXzjSrJT8+fS/32Iuiq+xaR9fe9sqMhqCVXjstlV6O9Uze8bipaBKrxSB1lzfuPrcdiwGDgfwYvJ1ImdeXXfZNTId418JCqwEpE7a1VMy5S24inGAiPN0d1lblIZZMMeDPj69V8ofNYqGAsvW85LBaqCubeZyAiIiISLFaUMhlGMYngdcDLzZNs/fG+0zTPAxsMwzDBzhM0xwxDGM/cGiW0/0l0x1h15QCvbMcW1Qmw3GsFoNSl53vnxrMdTkLcujQAG67FZfdcv2Na65F4klWlLsIRpOEY8mCG5pttxpsaCjjaHd+LFmbDCewWQycNguxZOEFsbfa3zE+76CrrszJ0AyhU12Zk3SauwZcMN3vWOGxMzo181ywSq+DSq8jr4b7z+Zw1wT1PhdT0ST1PhcH57EEscHnpKnCg8UwCMeT+Aw7VV4np/pn3QVYlpFSp5VgLEW52571GXrFrqHchceePx3BIiIiIkthXiHX1SWKnwR+FnipaZodsx1rmqb/6mPWALuAP57luBhw/d3jcpod8c8/7uCzT1/mvlXVHCzg5XWRRIrGclfehFwn+154s7y+vpREKs3lXM85M8A04W7PbrfDypZGX94ttxydime8AyqX9neM0+Bz4bJbqSl1ztiFtKOl/PpyqbMDAe5pKMViGHicNlIpkwvDwRmDr9lMxVK0V3tx2Cz0T9683LbCYyeRTN00ey7fDfqnv4b51Lyl0Uf3RPi2mWN2q8Ge9koM4PLI1KxBoBS37c3lHOudZG97JQP+mZeky9xF4ilSponlrv/lERERESke8+3k+gfgF4GfBoKGYdRfvd1vmmYEwDCMnwdGgG5gM/B3wDdN0/xBZkouDvFkmm8e6yORMnn6wkiuy1mU5go3V0bzc1j+tWVWs81ictoMWiq9+Nz2rO4euOPVbcTtFrqe6iUYvPkNvGHA6toSKjwO+icieRskFdvSoWtvojtGp2d1DQejxBJpxkJxdrSU3xbEDPqjjC8yyL0WwO5uq2AinKBrLMTmxun9O44U+a6hq2q8nB8KztgNmEiZNwWN6+tLSabNggr9ZPGiyRSmSd6+Bhaa8VCciVCcWi1ZFBERkWVkviHXO6/+/ydvuf1twBeu/u8Gppcf1gEDwL8Bf7aw8orXfzzfRe9EcWyPXu9z0ZPnX8vhrgnW15deD72u2dZccf0N1ZYmHzaLwYA/krEZQWU+B6vub+S5dBwS4HxRLdU2G42mBXskRXg0wlTfFGa5g/NDIfyT+TubqJibLG8NQGfa3dBmtWTsegc7J7BbDKpLnUUfbgG4bBaSaXPOy12v/Z4uxY6Ykh/qSp3XZ75JZrz1/jYFXCIiIrLsGGaetWcYhlEG+P1+P2VlZbkuJyv8kQQv+eiPmMyT5X2Lta6ulPND+b9LWmulh67xF3auK3FYsVot+CM3/xx2t1XMGHLMl81m4P6JFkYSdx7C77YYRNImdsNg1xQcfSZ/R9JtaChlMpxgdCpGotCGnS3StSHrMj8um4V19aUc7/Uv6PErq73EkmkiiRStlR6OzmH+mRSeXa0VWe2mXW7KXDZ++PsvobZUIZeIiIgUh0AggM/nA/CZpjnrQN/F7K4oC/QPP7pUNAHXPQ2lnB3I/4ALoMR189N94yyzrxY6F85mM1j3UDvnUwm2hA2SXhsHEnfvzIpcnfuUME32eWH9ynI6r0wuqIZs6xwNYQDt1V4uDC2vpWQpc3pmWqQIdppcSluayxfVjXXjUuhAJIHFgLtsUCkFZk1dCX2T6uLKpJYqjwIuERERWZYyt/5G5qRnPMwXnu3MdRkZMzoVp1Deb3qdN4dcqVm6GMemFrBk0IBNr27jcDzGVCrNc84UB5ILW3oY3VTOll31efl9jSTShBPp5RsyLNeve4EqPPaMLjdMpk3W1pVm7HySWz63jRKHlVTK1KD5DFtfX5yd8CIiIiJ3o5Brif3l984ST81tLk2+W1tXgtteOE+h/skIzRVuANbVlXBoliWJVV4HTeVuVtd6WV9fistmYUujj0qvgx0t5TRdPUdblYe97ZVsaixj1evaeT6VmR3hOmMJDlRZ2byz/u4H50iV14HTVjg/+0xZXVuS6xIKykQ4QYXHntFzJork9VNgbV0psVQ6bzcuKWS/uLcl1yWIiIiI5MTye5eaQwc7x/nuycFcl5ExF4am6BqPsLO1PNelzEnvRIRSl51KrwOHzTrrcQc6J7BYDGLJNMm0yZbmck70+RkPxTnSPUnvRISWq/O99neMc6ovAGcnWe10ZLTeEzU2dry6LS+bh/Z3jLOtuTzXZSy5VFoBy3xVlTgzer7LIyE2NapLpRgEIsllN9tvqayvV8ejiIiILE8KuZZIOm3yZ4+cyXUZWdExGqbB58JqQKUns0FPpp0ZCDAeinOy785DsLvHw/SMR7g0PDXjcqvu8TA3rna8fHGC3m93sGMowf3YycRGhHHT5Dkjwc7XLD7oMiywZn1VRgOz/R3jNJa7aK/2ZPCs+a3EldmupGK3tclH70T47gfO00gwVlBdpHK73W0VBbFhSSFy2CzYM7gbrIiIiEgh0eD5JfLNY32cWODuYvluPBTHZjGwWS1YlvPf1SacOTYMwIa1lUTX+7gSW/wSxudIsPunVjJxYpTe7lk3kZiRx2On5RXNdKeTnEym2LV6JcZgmJOHMtNR2DcZZUPD8ugY2N5SzuXh5TVsfzFaKt0L3lHxboYCMVbXlnBJP4+CtKXJx2HtpJg1962sUsglIiIiy5b+CloiPzo/kusSsiqZNokl01R587uTa6lcuTBO6eXMvQE/mIhxeUMp7a9fSc3r2lizvuq2Y1atrWTD61bS2l4OTM9It798BcfiMcaT0zsCHkrEOFJlpall7su9Wlp9bN27AhOwWm/vUTs7EGR7S/kCvqrCYDVgR0s5R7snGQtlZu7actA7EcFtn31Z8GKl0uayCViLyeraEjpGQ8t384olUMyvxyIiIiJ3o06uJZLp4cv56qI6K647f3qE+5vbec7MTDBiAmdj0zs2hlZ52bzahyOaIh1JYaZNIjVOjsZitG0uxz04xcp1lRxOJG87TwpIb6ti9bZqggeGGBq8feizCex6ZSvdboPL8QQpoPInW7AbBsHvdZO+ZY7O+YEATpuFWLL4ZlZtb6ngkLpO5i1tQr3PScdo5pcrAnRcHVZe4rQyFUtl5RqSWdtbyjnV59ccriz71rF+fvtlq7Gpm0tERESWIYVcS6TcvTxCru3NFRzuViBwzcjZMVif+W6T8WSKcVJgBa5t+Hc1AOuMJSh/+QqOJWd/439tGeXOeu9tIZdhge33N/GsNQk35HPXusG2/GQ71q4pLp0dJRGfDrXCiTR72yvZP8P8skK2q1XP58UIRm8PWTOpusRBNKGAqxC4bBYG/VEFXBm2pcmH02bBH0lwYWj6Q6YroyFCsRQ+zwshVzSRIhJPUaFuaxERESlyCrmWSNkyCbmslkyMXC8ePV0Bdm2p5lA8tqTXnbxDwHWjYIuXuiEvgwMh6hu8VNZ4SLSVsi82e70nYjGot+NZ0chGm50z37mCmZ4eRL+3vZJDXROkimQt0kAgetMGAzJ3jeUuxkOJrF6jyuvU8PICsaq2hNP985spKHe2cUXZTbM+60qdNJS7AZP/OtjNqpoSVtV4cTus/NI/7yeRSvP1dz5ATWlmdzwVERERyScKuZZIeZ7vOpgpl0a0XPFWXU/2suOlTRxZ4qBrLi7E4rClHLaU0wV0wfWOsLsJp9OcSMQpcdqIRKY7dvZ3jOOyWdjW7ONw12SWql4aXoeVvolIrssoWC67lUgimrXzWy0GPs/0TqbKIfNXbamTSq9DAdc87GmvJJ02OdU/HWCtqvESSaS5MnJz1+2tHyYMBWMMBadfv4/1zLzpw19//xy/96q1rCh3Z6FyERERkdzTwIYlslxmclV6l8fXOR/BYJzep3rxXt16stFRPN+j3eYLAdc10WSacwNBylyFnaE3VuhN4EKtqyvh8sjts94yKZU2Odw1gX2GzRAkP1gNKPfYOTeobru5uqehlAMd4xzqmqDCY8djt3G6P0j86pJwt92K225lV2vFgr6vXzncy2v+9mn8kex2WYqIiIjkikKuJeJbBssV68qcXBrO7hvbQhUIxKk/Ncm2vjj+73XhvMOyTitwv2EviDAs5pj5JSQUT7GmtjSru+tlm9Oml8e52NteyfbmcizG9HygPW2VXMpywHVNTamTuGY85a20CUn9fOalxPXC6/6AP8Z4eHowYu9khP0d45R7bKxvKF3UZhjBWJLX/t2P+YcfXeLKyNRNHWH9kxF+eGZo4V+AiIiISI4VdqtFASl15X9gsVgWQx0Vd9LXE4SeIFXVbrDZmEql8adun521OwBH9nWy4XUr6ZvlXB6LhUg6nfNlWkfjMTw2g2Ty9koOd08U7DD6Bp+ToUD+LS/NJw0+F16njf0d4zhsFmrLXDfNB8qUTSvK8EcTlDrtnBm4ecnbymovg/7sLYmUxTGZ7uSSuVlR7uJQ551fLwf8MQb8i39t6puM8NFHz/PRR89jtxr85ktX8+Y9zbzjPw5zdiDAX71xC2/Y0QRA52iIpgq3dmsUERGRgqCQa4mUuYv/W91Y7mZAbzjvamw0At/uBGDn61Zy+IZZXRbgxIF+ANyxNMySG94znMBR4+Y5Mz7zAUuk3GYFh41kcualL6f6/KzwuegvsOdFTWl2AptiUelx4LJbuDQ8PYMvnkxnJWyyGNOdJePhBG1VBuUeO5PhBLWlTmxWg+evjLG+voRzg5oFmK/iyXSuSygYo1NxKjwOxkJL+7qeSJn83eMX+fsnLl7faOP3v3KcI90TnOj1c6LXT2O5m9W1Jbz1gTZetq52SesTERERmQ99LLdEyt3FP3jeop0V523kwBC+q5+OtzjsbHE6SV1d3tN7fATbLN9Su9vGcB48peqtVmrqvLN2lIXiKapK8qDQeXJoqeKMbBZw2gwaK1x0jIazei2f2866+lLGw9MBaudYmAqPg73tlSRTJv2TUdLmdGfL3vZKGstd6MeWf/S7NHdOmyWn3bk37iRrmvAfz3dfD/v7JiM8dWGEt/3rQX793w7lqEIRERGRuyv+9qI84bJbcNgsRf2p9rWuDpm74aEQGwdKmBwN09cTZJgXmreGh0Js6vVwrPH2kCgZTVLSEcPd5CSSzt3bojOxOKz1ct+6Ck490UUifvvz+2RfgOoSB6NTue06k4XzuW2srPZyZTRMNJHiZF/2d8pbW1fCwc6b5w51jIboGL153pc/kri+JHZNbQkm4HPZOdy98JlFsjgrq71UlTiYiiXpHs9uGFrI7FaDxNUPNbY1l3NpKMh4NP9fJy8MaSMBERERyV8KuZaIYRjUlDjpm4zkupSsGQ/F2d1WcdsbU7mz00dnH/Jrc94+uN1mQOf5cYLBOPbzFu5/WQvPkdudsvaZcXhZA2vOBunpvj0AqS9zFVTI5Q9r57Fr6kqdhOMpjvYs7fLNhYz4u3g1aK/02vHYLYQTxfuhQj6rLnVyoABn8S217c0VRBMpQvEkp/v8JHL4gcVctVV5+OLb9+S6DBEREZFZaR3BEvqDn1iX6xKyLhhNsqOlPNdlFA1bnZv7oxaqnh1mu8MJgNdioaLSDUAinuboY53cb+bHcOfKzVUz3h5NprAW0HLWi8NTrKrx5rqMnNva5GMoGCMYSy7pdVfVeDmyiN3jxkMJNjX67nrc6hovG1eUsrmxDJfNgsduYU97JbtaK9jTXklTufv6sWvqStjRUs7GFWULrmu5CC/x8yXX7mkopanCzebGuT83qkscHO2Z4ESfn8sjoYIIuGD6A7tyj4MTvZOc7tfcQhEREck/6uRaQq/fuoLLIyHCsSSNFW6aKjw0V7pp8Ll59PQg7//GyetLFwrVucEg25rLc11G0Tj63Y7ryxfH9g+x6d46zsZiBNeXsMlr58KZUcw0JBwWctzMBUCnMb3j461x1qXhEJsbfZzsK5w3RVVeJ5dHQnc/sEhtafRxuj/7yxJvZbcaTITiLHZl98GuCVbVeK//DOtKnUxG4sSSJs0VbkpdNs4MvLDsalWNl1AsdVMHkttuZVdrBRaLweGuCVJXg4gVPhcep420aVLutnO0ezLnO53mE49j+fxp4XVY6RwNEU6k6Z2IsLauhAtDd1+6nzbNgvzvfcdoiG0f+gGmCVVeB198+545BcoiIiIiS2X5/CWaBwzD4D2vWjvjfW/a1UxzhYff/H+HmSjwpVIaNJw5N4ZFw8Mhhr91hTK3jfUvaWYy/sKsm0SeNEkNJZLc99p2jtwQzl1zrZsrVSAdC5HE8upGuVFdqZMTOQokEymTlTUljC+ikwumB2cbV9c81pU6cdqtEDFoq3LTNxmhZ+Lm5+FMgWYkkeLQDHXcultoS6WHBp/r+myw5S5tFsbveCZYLAaReOr6v8tcdtbWleCPJBgKxGZ93MrqEsZDhbm0/9qPdywU542feY4f/X8vZcUNXY8iIiIiuaQ0Io/ct6qKr//mA1SXOHNdyuKY0OBz5bqKohWJJDn6/Q46Lr3wBqnrh93cF86PpGtfKs72+xpvu/3i0BStVZ4cVLQwA/5oQS2xzKTGity+YY2nMjNL69LwFHvaK8GA7vEwsWSazrFwxjtousfD7O8Y556G0oyet1BdHA5ity6P350qr+Om14lDXRNcGJpiOBCjweeafv7dYFdrBVuafDOGp4XowTU1CrhEREQkryjkyjPt1V6+8LbdeB23DxwvFAc6x0mmTWoKPawrIJFIEjOZP90Tz5fBite3U1t381yrQgpwR6fi7GypyHUZS86A23YwXEp72iu5ksGdWg90jN+xoyaTxsMJrAZ47BbW1pUsyTXzkT+SZFXN8vj6O8fCrKu/fRaXyXRQfqhznA1Xw0+33cqhrglO9BbOsu276dHumSIiIpJnFHLloU2NPv7pl3cV9CfhI8EYTRXugg7rCkVZmYOW17fzfJ7Nwx5IJPBV3NzRNxyIYiug7qgDneNsWWbzZna1VeRsyfTe9koOdIwzdcPyr0Iy6I/icdgIJ9JcGJqipdLD7raKgn4tXyiXffm89g8HorPelzang6DdbRUU40r+C8NB/n1fJ+YyWqIqIiIi+c3Itz9MDMMoA/x+v5+ysjx7177EvnW8n9/90lHy7Ec0LztayjnSPZnrMoqa02nF9spGxpL5FQzstTo5/t0rt92+vr6UoUC0YGbPlblt2C0WxkLxXJeSVXvbK0mmTU70Ti75QOxKr51VNSUc7CyOJVy3Wl9fSonTRjyVZiIcp2c8kuuSsu6B1VVE49Nz+A4U6c8VpjdKKMQB8pn2nlet5XdesSbXZYiIiEgRCwQC+Hw+AJ9pmrPukKXB83ns9VtXMBGK84Fvnc51KQt2pHuS3W0VRfvmNR/EYinqT/tZuamK8+kEgQzNM1osa2jmEOvcYJC2Kg+GYTBeAMFRIJJkR0t5UYRcO1vKiafShOMpvE4bNouBzWoQT6Y51jNJbLFbGi5Qe1XxBlww/Zy/xm23ck9DGW6HlcTV73fKNHOyk2U2lDistFZ7ePbS2PXbPA4rmxt9DAdjdI6GimYnylKXjfX1pUX93J2rkeDSLAkWERERuRt1chWAZy+N8gdfPUHfZGF++m+3GpQ4bQXTuVPINmyt5Wi9PddlALDL4SRwYozurpnnz7RWeugqgHkuBrD76jK6Qret2cexnvyZB+R2WLmnoZTDXZO5LiUnbBaDtGnSWO4mbZr0Tc6+7C3f3dNQynAwxujUncPg2lInjRVuLg4GC3JZ6qbGMqyGgQmc7Q+QKJDdYrPJbbfypV+/l63N5bkuRURERIrYXDu5FHIViGA0wZ9/5yxfOtiT61LmZUdLOXarhUOd42hFR/bZ7RamXt6QV50SGzsiXL5we0BU6XEwHs7v7qj2ai9uu5UzA4XfZbOq5v9n777DI8nrA/+/q6qrc1bO0owmR03Q7C6wSw4GbAwGbIwD9tk4gW1+9p0D2HcOhyOHE8YmnjljWJNNWDJsHk3Q5DyjnKXOOdXvj9ZopBllde7v63l42JFaVV+1urqrPvUJFgZmw5TKNblFr9DoMHJ7pnhN7ktJrVVPJqPhKaObATaDQoPDhNui5+pEgGAste6f7ao1MzBb+kHuxY60O+kf9pXU+2speMPhZj74kz3FXoYgCIIgCBVuvUGuCmyDWplsRpW/eNNBPvmO4zTajWv/QAk5OSACXIXSvaem5C7ApN3OZb/uLfEA1+E2JxP+aEUEuAAkSSqZABdkB2yIANc9s6EEBlUpyWEdHW4zNRY9AAadxLEOF7sbbUSSGW5Nh+gb8GwowAUwMBuh3W3Kx3Lzxh9Nltz7ayn40rlxXva3P+A/T5fXTThBEARBECqT6MlVZl68q55v/taj/MlXrwDQ0z5/IT4ewKBTeOLyZJFXuNTN6RASoMhQpHY/VSXgjSE36Smlp9oefbAkyW3R0+o0cWGsdErnFpOA65NBYslSeia3xm3WF3sJSyRLpHdcKZnwx+iZzxYqFR1uM9PBONFkGlWRSGfg9NDWe1BJEmXVsF2SslMSheXdngnzvi9f4miHi2111mIvRxAEQRCEKiaCXGXIYVb527cceuDrmqbxN9+6zj99/3YRVrW8YCzF4TYnekWmb7D8exqVurGRIN2KjGefg9kSmLbY683g8wZoarZi1ynYZRlvJMmt6VBJN513mFV8ZVQ2th7pEitND2ww86daRBNp3GZ1oWzRqlcIJdJFmeJn0EmMeCMLGYC53L+mQbvbzIS/PPqQ7Wm0V0xWZ77Ekhl+7/MX6Wl38suPbqPGaljy/WgijWlRpmI6o/HvJ4f40UPNOEssCC8IgiAIQvkSQa4KIkkS73nFLj59crikmryP+6LoFKnYy6gaw4N+9h6oYZbiB7n6XDK4zAA8rOg59fWBIq9odTsarNgMOsb9MaB0jqFckEvsEAzFU3TXWxj1RImlMuxtsjMXijNV5VPa7k4f7a634o0kuTkd4kSXm5MDHkyqQletGatBB5JEIJpcMrkRsn3kZkPxDZcPLudQmyuvAxdSZZLJpSoSVqM4XVqPvkEPfYMePvnsIO997R5+5uFOrk8G+cQzA3zj0iSv2tfAgVYnF0Z83JkNc2bIy8kBD7/36t20uc3FXr4gCIIgCBVANJ6vMLFkmp4/+TbRZPEDHAC7Gm1MB2IlFXSrdE6ngcDD9UQypVUO5lAU9ickbpycIBgsfhaXSZXZ0WBjOhCn2ZltgB5JpMqqhGoj9jbZuDIRXPuBReAwqfijSY53ujg1uPVSuEqz2vNytMPF5TE/sVRm4XFOs0oimSayRrlto91As9OELEvIkkQ8mSaeynBtMkhvnieK3g3clTqzXqHZaeLWdKjYSyk7sgQf/7nj/NFXLjO8RqnntloLH/m5Y5j1ClfGA7S4THTWWHj65iypTIZDbU6aHOXVw00QBEEQhNxab+N5cWuygmiaxnu/dKlkAlyQ7WsE0NvpFuWKBWJ3GqlTVcKaxp1E8YNJd/nTaZ5RoMOqlkSQa3ejnf4RHwCTgfIomdoKnVK6c0b80WwQXJZKLN2sREyuUtJ3ZsiLw6TS7DQtBMJ8kSROs8qeJgf9I94lAweanUZaXSb8kRQj3giTy/T/UmQprwEugJtTpRlwvd/+Zof47NqkjAYf+PaNNQNcAHdmw7zsb3+45Gs6WSI1/+Jtd5t510u7efOxtrysVRAEQRCEyiGCXBVEkiR+9uEOvnt1quQyp2ZCcVxmteTWVYmGB/0w6MdiVeEF9cVezgMajzQw88QAmSJmTHVtcxA16tDINpmvBia19Kb23U80o19efI2pHf5ociFQeJcvkuTMsBebQYfTotLkMJJKa5wd9jHuWz2om87zGM6eNudCgLmUHO90MeaLEkmk6a6zEk+lRYBrC7bXWbY0XCS16HU47Inwu5+7gFFVeP2h5lwsTxAEQRCEClW6t/aFTTnY6uSjP3cMpUQa8LS7zdgMOnyRhAhwFZixRHvInEzFaXhtB1IR331S+92cazPQ/aNd6HSlcazkWyRROhmeK5kLJxDt+x40HYzTWbO5fkXBeIoRT5S+AS9nS2Rq41y4dPqu2Yw69jTZ6K6zcGrQy7gvhi+S5PSQl4tjotH8ViiyhNWQ2+D6n371CmO+aE63KQiCIAhCZRFBrgp0tMPN3/9kD7/7ql3809uOsLepeL3NzHoFt0UlJCapFVzH0YZiL2FFA/Eke1+7je073SiKhKov3FuRBvjn+5VdjieoeU0HHZ2Ogu0/3050udnXbGdvk20hS+1wq5PL45vPqCiUobkIZoMu5xfGlaD2vkl15Wpng5VhT2kEKVxmFVWRuToR5NZMuNjLqTg3pkLszvH5x3QwzlQVlJcLgiAIgrB5pZnqIWzZaw82Lfz3i3fVcWbIy9999yZnhgrb1HlwLoxJVUjmufxFeFBaJ0EJxxbPJOLQZULuMuHSKZiemiQQyH+vLpfTwGTy3hMzlEiy/2AN0rAfrcyr5Y51uJY0897fbOfSeIBEOkPZHIJaeWSdFVqmxIbEbFap9F2rseixm1QGZkVwK5/ODHk51Org/Gjuguyj3igHWhyoJdxnUBAEQRCE4hFnCFXAYtDx6M46Hn/nwxxoKWzGSiyZYUeDFaNOvNQK7dzXBuiZLP0S0Qwwl0rT/VAzhbiM33bowT5ll+JxDr+qqwB7L6xL4wGOdjgxlFFJpsWoK5+AXIGoioSuRErQtyqV0VCL/LvsbrShaYgAVwFoWjaj60i7k94uNzUW/Za3+e7/6Of1//A0vkjxB5gIgiAIglB6RCZXFVFkiVfvb+TiFhrBboQkwdtPdPCC7loATg7McfKOhysTos9JIUjA1fPTuFvb8aRKPzPmWSnJ0ddvIyhp1HiS9D89mp8dGRSyobWlnssk2NZsZXw8lJ/95lG9zUCdTb9sr5pLY4GyyXgw6xUcRpV0WmMmVDp9m4rtQIuDvsHCZuHmQ1ethVvThTu+ttdZMKoKEjATjOMwq9iNKhP+GDU2PR4RJCmIaDLN2WEfiiyxu9HGXHjrz/u1ySB/992b/PHr9+VghaVN0zSkEsmAFARBEIRyIIJcVSZToBSJbXUW/vonDnG0w7XwtVfvbwSgf9jLJ58d5OsXJ0gWccJetdgu6fBQ+kEumC9hBGx2GYtFJRzOZqLlcgpiYi4Gtcv3fGraW1M2QS63WaW73srtmTDxVIbL48FlHxdPZdaczlcqGuxGrk8t/3tUs2FPpNhLyImB2XDOS9dWoioS8VSG24t6bU0FlwZOdzfaMKoK50pw0mMlOtLu5FQOg7W3Z8IEY0lsRjVn2yyG6WCM4bkIR9pdyIuyHAdnw3zt4gSfPzPKb7y0mx/vaRHBLkEQBEFYBxHkqjLb6qx53b4kwS+9aBvvecVOjOrygYSedhf7mh2cGvAw7hcNZPPNEE3TalbxpdOE0uUR7AimMxx/SRu6jIZfJzGZTtEp68gAxtk4V89OEo9vPHCnAUqDGdLLZwmdVdPZaFoZxF4Nqkz/iI99zXbOjZR+U3lhY7bXWTDoZKLJDHpFYjZUGVlH4QL1W9vf4qB/jWmS1yazAdVjnS5OV0CmXLV58sYML/iL71FnM/DI9lr+5Mf2lWUQ6AfXZ/jvn7uAzajjH992hMd21vHZU8O890uXFm4Evufx83zv2jT/+LYjRV6tIAiCIJQ+EeSqMq/Y24AiS6TzlNH1t28+xBuPtK75uC+cHRUBrgKRbgeYHfTichmpM+lo3ObkvE0ikintgNep5Hwgav6aeCEbzQ77X9XBna8NkNlAJqAkw+7XbeNkfOUyuGhGo8FhwO8r/VK5NpeZCX+8ZANcOlkitYH3md2NNobmRI+ku9wWfU6zXkrFrekQ3fXWvJYtdtaYCUTX34/w9KCXvU02JvwxvJHS72NYrnyRJKoi5TSDOxBLEYiluD0T5tnbs3zyHb20uc05234+ZTIaH39mgC+dGwMgGEvxjk/0caTdxcUx/wPP01cvTPAnP5bAnYO+ZoIgCIJQycqjUYuQM3qdzKf/2wn25nis912LyxNXc/ekTsg/3/xFm9cbY2I8xNmnR6nTLZ9lVy4uxeP0vLh9QwlXO3bXcm6VANdd23ubkJXSzwYYmivNEjZJypYlHWx10OYy0ewwrvr4w21OdtRbuTYZJJos7cBrIZ0a9LK9zlLsZeSFw5jf+2sNduOSMsX1uDIRxGXWUwaHftm6OR3iSPv6zhE2Q5aksglwAYQTKf7sa1e5NHavT2lGg9ND3hVLzB/76+/TP1x5wW9BEARByCUR5KpCJ7bV8OXfeAG/+uLtOd/2eu/Of/q/PcSnf+kEVoNIJsy3aPJeeZAGHDjayFCi/LMVntGlaHl9F0de2k7PC1sxmVZ+LblcRtTt6wvsPislOfyitlwtM286a0szANJkN3J22MfZYR8j3ijj/hjHOx+8sFUVid5ON+dGfNwsYDPyciFJ4A2X/3G6nHyWlKmyhLbJeuM7s2F2NdqotxlyvCrhroyWv1rwl+9tyNu2c+2JS5P8widPbfjngrEUn3puCC2Pz6MgCIIglDsR5KpSqiLzP169m7980wH0OZy8tt6m0bIsoZNl/vJNB/mdV+7M2f6FBy2erNfaZuNifeUEFu8kEjyrpnnOorHzpW2YTDrs9qWlHHq9zERvzUJT+3UxyCXflqtUm8nrlnk/OTXoZV+znTa3CXU+VWZ/s52+QU+hl1c2ejvdFTv97/SQl8NtTjrcppxve1u9lb6BzWe6XJkI4jSXdyPzUqYB2/IUoL9ZJkMrvn9tmt/6bP+my5G/0D/G//n2jRyvShAEQRAqR+Vc7Qqb8tbj7Tx+epQzQ8ufbEkSbOSG4Y3J9Z9k9na5gexkoQ9+5+ZC/54TXW5mQnHuzIQxqQo1Vj2j3uj6FyEs4bboGZjNlu6MjQQ5fLCOk5nS7zm1USdTCVwvbWYmlWa/wUDw1DSTEyHiiQwWRSa8gab7z5LkyOu3oaYhMx+zURMZkp4YQU+MgD+OZy5Kfb0Fm9NAwBvDbNVTu81ByKKgAXNaBhWQkWjQJKb6Z2jW6UAiJ02uw/HUlreRD00O47LTAC+PZ0tyZAncZj39JdpLrFRcHqvs5+fciA9XDoNJNoPCjgYbZ9doNr8eN6by3zesWp0e9GLQydiMOoKx3L6H1dtXL40uBdFEmvd+6RKxLZZm//33bjEViDMdjDHui/Hw9hre+9o9y95kEARBEIRqI4JcAm893obLrPKdq9MLX9vTZOd1B5t4+0MdjHojRBNp/v3kMF/sX72X1vWpjV8U1NuMXPvTVzMTijMdiLO32c5UIMbHnh7gVx7bzpfPjfG/v35tw9sVsgHDkwNLs2VCN7w8tMPJ8+nKyxLxprKlmRfjcQyHnfT01BEdCjIiSWy0pfnZxNLG90hAjQI1Fiyyjb06lYvJBMOaBl0mFOA6Kbgv+LTfYODyNwfZ22Dn5nSI3Y02dDJsJRHrWIeL/hHf5jeQR32DHo53urg+FSQQffAiNqNRsRlKW2E36uiutzIbSjDsiWBQFUIFmkRYLN5Ikg63iSHP1m9ibK/LTYDrLtMK04GFrYunMuxssHJxUS+qXHCb9Tx7e5adDTZqraVXcvrUzRl+8zPn8IRz8/732dMjC/+tUyQR4BIEQRCEeVKp1fVLkmQH/H6/H7s9P83RhQf5I0n+88wI7W4zh9ud1NsevCPqjyT58JO3uTIe4Ic3Zpbdjl6RufS/XoVel7uTrfMjPt7woWc2lFEmZBt6n1slENK5zYlrp4s+LUFlX0oX17HpFJf6p5Z8rc5mYFut5YEA5GI6Gewm/bIXRG6LnmAsmdMpZblmUhV2NFi5MHovI0lVJFxmPdPBysskBHCYVLrrLGS0bOl2ZFGQym1RSaU1djfZmQ7EGFw0OKDFacIbjhNJZmh1GUlnNCb8lfkc3e9Aiz0nwY7eTnfOy19bXSaRRZwn7W4zoVgSTx6mWbotej7wlkO8eFd9zre9WdFEmpd/4IeM+fLzerIZdTy8rYY/e8P+sshoEwRBEITNCAQCOBwOAIemaSueQIogl7Bh4XiK3/7sOb51ZWrZ73/1XS9kf4sjp/v8TN8wv/eFizndZqVbLotrOQ6ngaZWO5mMhn+7tSKa0peSE36N88+PL/+9Ljc3poIYdDINdiOzoQQtrmyfouG5CGlNY+a+gJBFr3Cg1UEilUGRpU33dSkUl1lFVbK/n0mvkExn6M9hxk0pWXzMuc0q7W4LOkVCliX6Fh2LFr1Cd70Vg04mnEhzcypIYj5g2VVrWSgvrnQ6WVp4Drai1qonHE8vGbKRC2vdKBC2xqiTieWpt+DuRhsfeMth9jYX/zxS0zT+/GtX+ejTA3nfVz7OvwRBEAShVKw3yCXKFYUNsxh0vPZg04pBrq9fnMj5SdbBVmdOt1fpDrQ41n2h7PfF8fuymXl1MxEOPNzIxXh1ZJHki0WROZRSiBpkcK/8uL5BDzpZwhvRmAxkn/PFd/pbnCZOdLmJJFKM+2J01loY8UR4/s69gElPm5PL4/6FIEmp8c5natzN3trdaFsSyGlzmxjJQblaMelkiYOtDk4vyiTyRJJ4Ir5lHx9OpDk/unzPLbuxej6WUxkN4xYHLR7vdBGMpZgN5b7p+KUxP9vrLNyeqY6gY6Epcv6mbF6bDPIjf/8URztczIbivOVYGy/f08COeityHve7nH/+4e2CBLh2NlhFgEsQBEEQEEEuYZMe2laz4veubaD5/HrlK8W/EjU6jFyd8G+q59PMTISZr9xhe4uNxl0uRi2yyOzapIvfHya5RnNhTWPVksMxX3Thta8qEmeHvQ+U7faP+NheZ6HWaiCd0UikMlwo4abl1yaDGFWZ/c12/NEkTfbyD3L1tDtzllFnyGGpdznYuYVm8fU2Q14yGa0GHXuabNyeCXN7JszB+cxJyGYyB2IpUukM0WSaTGnGlstCIWJNd4fq/PU3r/PX37zOzgYrNRYDL9tTz88+3JnT1grLmfTH+Ksnrud1H3f9/o/sKch+BEEQBKHUVdfZtJAzDXYje5uWLwO4M5P7iVQPb6/hid96ER/92WM533alaXGattTUHGBsLMiZ7w1TOxJBLxX2rnclCKcz7D/RnNNtJtPain3pbs+EOTng4fSQlwtjfk50uWlxlm5fllgyw6XxACPeKOX+8pIluJ3DKXypKouazIYSbPYl4MzhdMa72+vtdOMwqZwa9C70w7sw6ufaZJBrk0FGvFH80SThRBpFlujtctPb5abFacKkyhzvdOG26HO6rkplM+X277ceN6ZCPHdnjj/72lVe9cEn+d615TPSc8VpVnnz0da87sOsV/jAWw7x6I66vO5HEARBEMqFyOQSNu3Nx1r5X/915YGvD3kixFNpDLrcTaeyGnTsbrRzdSK305gqTXe9deHOdS5cPjfNjp1uHJ12npVERtdGpJzFu9A9OeDBoJPZ32JHr8hogIyETpHwRhIYVYU70yES6UzRyxwTeerJUygaoMi5u1804Y/lbFvlYMQbwWrUEYw9OIlzLWb91k9hTKrCwVYHGU3jynhgQ83rk2ltSa81gFODXow6mX3Ndi6Pi8+r1TTajYz7ivd6H5gN8wufPM1jO+t43+v20l1vXdfPBWNJrAYdoXiKf3tuiCaHkVFvlB31Vl5zoGnJYwPRZN77un347Ud5dKcIcAmCIAjCXSLIJWzaq/Y18udfu4oGpBdlH2gajHgidNfbcr7PSzkeOV5J6m0GpgK5v2C4fcMDNzwcf902TiVFr671eEjRc+Eb+e/Bspp4KrPq8SJJoCoyO+otuCx6+oe9RZnWqFPKO5VL07IlwjOh3Bwbs8E4ep1c9sG/9dI0aHOZGfdH2VZrQZIkZoNxhjyRVX9OlSWub7E0vtFhJJXOrGtAx0bEUhk84ThNDiOecIIGuxGDTuZmDjP+KoE3D5MVN+OHN2Z45oNP8nOPdPLul+3AsUqG2V89cY3vXJ1if4uDc8M+7izqfXmozclrDjThCSe4Mh7go0/f4cyQd1MB3I14z+Pn+Pq7XySmKgqCIAjCPDFdUdi0kfmMreuTId735UsLpR0AH/nZY7xib0PO95lMZ/jH793iH753U/RCWcSkV2iwGRicW/3CcCsO/0gXz6cTaz9QoFdn4MLX7hR7GRtSqElyDpPKtlrLQhAjmUoTjOd2Kl4xHO1wcmbIl5NtNTuLm+FSDAadTHxRYK/NbWLSH1sx8Lre6bGrKXS21c4GKzemRKBrMb0iFT2bdLFaq57//qrdvOloK4oskclo/P33bqKTJc6N+PjO1ekVf9asV3j7Qx188tnBggepv/TrL+Bwm7Og+xQEQRCEQlvvdEUR5BJyYtwX5c0ffm6hSfaLdtTy6y/pXrVB/Vb8+8kh/vCLl3jxrjrOj/iotRqIJtOMesu7gfVmWA06mpxGbub54kkDjr2sg2d0+b0rXe52GfSEn51idjZ/Acd82ddsx6xXOD3oJR+fDDUWPaoiLUySrDQ98xeZ/VsIFrrMKsFYqup6cy1ne52FGquBjKYx5o0w4b83odMTTixM7Nys3Y22vAxKWYkE9Ha56R/xVU2m3lpKNaC7p8nOH79+L4+fHuELZ8eKvZw1vfZAE3/7lkMY1dy1iRAEQRCEUiOCXELBDc9F+PCTt/n0yWEA/vbNh3hTHhuuPn1zlhd01zAdjNM34OF1B5s4O+zjiUsTfLF/jNlQ5WcdNTqMmFSFgdnCjLjff7SR07XiJHo1hwwGbnz1DloZX8PmI6srF5k3paCzxkytzcDt6dCK5VYdbhNDm5wYubfJzhXRe3AJs16h3W1m1BvBoteh6uSc3NDoaXNuKSC5WfU2A121FqYCsbxm35aDrlpLwT6/Kt0nfv44L9ldX+xlCIIgCELeiCCXUBSxZJo3/fOzDMyGOf3el+ekMfBm/OlXr/Cxp4vbEynfejvdnB/1Ek8V7hh2OA24Hm3mWrzyA4hb0aJXCX97lFiee7HkU4fbvGZfpPUyqQoSGpFkGUf+5jXYDEwF49Ra9TQ5TFwc8y/5fr3NgC+S2HQJVovLxFgVZqQWg0lVMKkKnkjx3s+quUG9XifTaDcwvMmAsHDP8U4Xn/3lh5Hl8u5xKAiCIAirWW+QK3cjoQQBMKoKf/z6ffzmy3YULcAFVPwI9+OdLvoGPQUNcAH4fXEGvjLAI5pKj97AI6joJXFSfb+xRJLuvfkp1S2UrVz497Q76Wlz0mg30tvpxqTK7Gtx5HB1xWHRK0zNl8jNhhJcHPOzq8FGs+New+eOGnNJ9RgSVhZNprGbdOiKeCZ0eTxAb5ereAsoolQ6g9Osx1jMP0CFuDIeIF1iN60FQRAEoVjEmYWQc71dbt752PairuHNR1v5szfs55Ht5R1oWM6xDhenBr1F278EnP3WIFf/6w5nvznIYU/5Nw3Ph5uNerbtKN+L1221lk3/rC+SpH/Ex2QgRt+gB08kiTdc/tl/DY4Hp5ddnwoy7o/R0+bApCrMbLFPVNMy+xDyZ3Auwr5mB2oRM2D6BrwcqIAg8EZlNLgw6udAa/X97rkWTqSZq4IWDYIgCIKwHiLIJVSkeruRtz/Uwb/9Qi92Y/EyynLteKeL00PFC3At53zfBMf0BroNlZ09t1H+dAbT7vINcm22gbEkZSfl3c8TSdLmMm11WUVlW+W9pH/Ej05myz2WZEnCJJpHF9T5UT897cU9Vi+N+entdLOj3kqL04RRXXoMieCnsJpmh5E6m6HYyxAEQRCEklA5V/+CsIy+QQ+BMu6LtNjRImdwrUQCLv3XHfR6md5XdjJEmqlkZTznW1XOHaiC88eN26zS3WDDF0kwPBchtspUuFqrHlWRl51Y5wkn6KxxMlLO/abWqAYKxree1dg34MFlVtnVaMt5839hFUWuutbIfl4tJgHb6y0YdDKDsxFqrfqKHKgiiZL3TXv5ngZURaLVZUIR/bgEQRAEARBBLqHCGXQKqiKRLPMeOfua7Vwo8QveRCLDha/eweE0cPRFLZxJbK1sqxLEJTAadWXZgP7KRIA9TTYksoEXgEd31BKIpUik0kwF4szNlyA6TCo76q1cGfev2lz+zmw4rxfqNqOO7nor3nAiL1PrdEphkp+9kSTeiC8vUy6FB5Xq5E8NuDV9b/JgrVVP0qTijy4/1bNc9Q97aXEaGfPFir2UsvP+Nx4QGVyCIAiCcB9RrihUtKMdLvr+4OV88K2H+Z+v38uvPLYdfRk2uQ3FUiQz5RGo8/viXP/GAGa5/J7nXLsSj9P1ivZiL2PTrk4EuTJxLysrGEtxbsTHlYkgwViSFqeJQ20O6qx6Tg9515ye6IskmQ0lsOgVetqcqMrmMg9MqkKH28S+5uwEXoNO5ki7k1giTf+wL+eDJyQp22vwTIFLhfU6kZmRTw6TyvY6C/3DpZchu5whT5SuLfTKK1XJtEaLs7xLmYvBbdGjE9lbgiAIgvAAkcklVDyXRc8beloW/v3GIy28+z/6ly2pKkXlmM2RSmkcCcOQQ2UsUVlZBxuhAJk7K063LSstLhMDc/eyShJpjTFflDHfxssPw4k0/SM+3GY93Q1WJLJZXjPBOLKUbUi9ErdFn8368EZxWQxIEhxsdSwp5c1V9dOxDheJVIa5cHwhm62Qxr2xNZ+PxY51uJjwxzb1N6k2LS4T/nCC2zPhtR9cQs6N+NjXbCeRynB7JrTu10apS1XKL1JAv/CCTlwVPklaEARBEDZD0kps5LAkSXbA7/f7sdvtxV6OUKHmQnHe/OHnuDObvcCptRr4by/q4uV76jk16OXSmJ/PnRklvkr/oULp7XIX5QI7FzTg8EPN9DmktdoZVSSDLGF9copwuPwDfUfbnZwZ9uVt+21uE06TysBsmM4aC+P+KJ5lnrftdZYlgQm7SUcg+mA56OE2J8l0hsvjWwsyHut0cbpIvfD0ikRGWzsA4DSrdNVa6J//+xycn1Z3YdSf7yWWpXqbAZ0iMV7m5XH7mm3odcrC373QFFniWIeLK+N+HCY9tTbDpm/IlPPnXLHc/PPXoBaohFoQBEEQSkEgEMDhcAA4NE1b8SRfBLmEqjUbivOj//A0k4EYr9zbyId/5uiS73/94gQf+PYNbk2HirK+jhozNoOO6WCc6WB597c6/CNdPJ+uvIbJ6/FIVOLsk6PFXsaWHe8s7OADm1HH3iY750d9xJIZrAYd2+osGw7c7G60Yjfp0TQNSZKYDcW5s4HsnVaXidEiNct3mVXiqQwZTSOeyrD449qiV2h0GKmxGLg87ieceLDp/aFWB4l0hqsT5ZG1WggmvUKL01S09/V86K63FuX36e100Xffe0Jvp/uBBvrrsavBxvUp8TpdL6Mqc/VPXi2a9guCIAhVZb1BLlGuKFStWquBL/3GC7AbVT70g9sLF8F3/ciBJgZmw/z1N68XfG27GmxEEikubTELpVTMXJzlRLMNSZYYqa2eEkaLIjN4ebbYy8iJVIGHNwRjKU4OeNhWa6HGqieV1ujfRJbItckHL/73N9uJJNPrCnaNeqNFyzLxRu4dJ1a9Qo3VQJ3NwGwozuBchNsz4VXL7c6P+tnVYON4Z7bs8rzI7GJ/s70kp9RuhdWgFGW/U4EHM+H6Bj20uU2MeDYWGDYX6XcoV6/a1ygCXIIgCIKwApHJJQjA3eNg8Unj4GyYN/7zs3jChc1AanWZmA3GiZVAqWQ+2B16XI+1cD1e2ZldMnB4MsmV89PFXsqWWfQKNqOOyUB5ZxQu5jJnJ0LemQ2va9pjb5eLvoHyDY6oikS721x2PahyqavWzKQ/RnSNAQnlxmpQaHWZsRh0JNMZJv0xZkJxLHodoXh+Jrua9ArRZbIHAXbUW7m5wcwykcm1MqMq8+6X7SCWzDAXiuMwqfzGS7sx68V9akEQBKG6iEwuQdiA5e6IalDwANe2WguheKpiA1wAAX+C5LdHaHhZC1PJ/FyAlYJeRc+582PFXkZO6BS5ogJckM2S6hv0UmvVc7DVgU6WSGU00hkNs15hLpwgFEvRXmNmLhSnb8C76VKsUpBMa7gt+qoMchl0MgdaHPijyYoLcAGE4uklg1RqrXraXNlsqiaHgSaHiUQ6g1FVctZfLpVe+Xm8OR3aUHmzXiej18mc6HJzcyqEJ1LZN0A26tdf3M2vvbi72MsQBEEQhLIhglyCsIIOtxmLXlm2100+9Ha6uDweKNj+iikaTcF3xzj4inYuxCsreHJXXKmcUpJdDdYHeu9UitlQYsVMrmMdzoWggNuiL9sA110XRn30drm5NR1ctql/JWpzZzNjTw9V5ut3OYtfzxP+OBP+7HusIsGRdidnc9CofmeDbdWhDpfH/MtOBtbrZPY325kNJdDrZFxmleG5CBfHsqW0bS4T3ghVOahkJY/urCv2EgRBEAShrIixLIKwAlmWeOGOWh7ZXgNkT87f+dg2Wl2mnO/LpCr0DXqrIsB1VzSaYuAbgxyZSmKRK+etSJUkjugNpG9VRv+jAy32ig1wrSUUv3c8FjqrMx/iKY2+AQ8dbkuxl1Iw6YxWkdlbm5HWslmZW9VgNzDhW73nViSZ4dyIj2anEVWR2N1o40SXG6dJ5eywj2FPhFvTIU4NeplaNFhlxBvleKdry2usFC/bXb8wLVUQBEEQhPURPbkEYRWBWJJnbs7y7O056mwGnr45uySbw2FS8Uc3nxFxuM2JXifjDSc23MOkkhzsbaLPVf6Brr0GAyNPDJJMVMZF9bZaC06zmpPMj3JkNehQFWlJA/hKYNTJJOdLMytdm8vESJGmY5aazT4XxzpdKJJEIJYkmdaIJFKM+x5sOr8cp1klFEuykQp8oypjN6plP1V4q7bXWfjUL56g2Zn7G2uCIAiCUI5ETy5ByAG7UeU1B5p4zYEmAH79Jd2MeCL85mfPcWsqyJP//SX86Vev8LkzowD8wY/sRtPg+TtzfP/6zJrbH5oLV9wF9GZc6Jtg3043qd2OsmtI36K/Ny3SOBSqmADXiS43J4swUbCUhOKpok1WzKd9LQ7OVEH5nk6WRHPueU6zSoM925/r/rJbWYIaq4FttdkMPw3IZDRkWSKVzjA8F9l0wMm3ic+3WDLD/hYz3nCCZBUEYldytMMlAlyCIAiCsAkik0sQNmFgNkyj3civf/os37uWnZ73Sy/q4g9fuxeAD37nBh/8zs1Vt+G2qFXTF2e97A49HS9q5VSyfO7gP6ToSU1F0dcaCQ2HuHF1tthL2rLOGjODc5FiL6NkbKu14Lboy76v0+FWJ6pOWndD8HInArVZi/s9KlI2eIIkMe6LYjPquDYRLMkeWKoi0ew0kUhlaLQb6B+pjBLw9VIVif/vlbt4Y08L9XZjsZcjCIIgCEUnMrkEIY+6ai1omkY8leZlu+v5wFsOYzYoC98/N+JDJ0s0OoyMrlAesq3WiidcHReb6xXwJ7j4tTvsen1X2WR0+XQweGay2MvIqWFPBKteIVRFPeJWc2c2zMBcmHa3iWFPeZa+VVvAZ1eDreIy8DZjW61lSU+9tEbZ9NhLpjWG5oPtE/5Y1b2Gk2mNv/jGNWqtBn7iaGuxlyMIgiAIZUMEuQRhkyRJ4t//20N4wwkcZnXJ9973ur34IglGvVF+8zPnlnxPnr+TXi3ZFBumwez3RnnkBS08R7IkMwwWc0yVT9bZemU0cJj1hBLlGdDJB00DWSrfiZn+aJIDLXYujq08Ea+SGFW55N87CiEYSxV7CTlzatCD3aQjEK2c32k9aiz6Yi9BEARBEMpK+Xd6FoQicy1zArq9zsqhVif9yzTsPtIuAlxrCYeSnP3mICeU0j+5l9XKeBs1qQqH2hz0drnZ0WBlbI3padVIlss3yHVtMsit6RAHW6pjUpteVxnH5Va1u83FXkLOZLRshl61uTEVLPYSBEEQBKGsiLNAQcgDfyTJOz55ik8+O7jk6zsbrGXf16eQLnxzkBekswmnTp2CW6es8ROFd80h07nNWexlbJnDpHJ+xE/fgIebU9U76XM1d2bC9LQ5i72MTYsmMyTSGdxVkBkS2MLU20rgMqsc63RxYcxX7KXk1HQwjlVfep8D+fSDdQyxEQRBEAThHhHkEoR8kLIXxKoi8fuv2c22uuzUKouY9LUhmbTG6e8M4X5qGle/B+NzMxxXDcVe1hLeVBrdfnexl7Flk4EYHRWU9ZEv5Z4hdG0yiNOkrv3AMlftpYodNWZOD3pJpivrmRiai6DqZDrc1TN1MJYSvREFQRAEYSPK+2xdEEqUw6TykZ89xt4mO+98bDtff/eLeP2hZlRFHHIbJQGRSJKJ8RAeT5SLX73DPkNpZaJMZdK0tpf/NNghT4Tjna5iL6OkJdOZYi9hS7rrrdyZDRd7GXl3YypEb5ebPU029jeX/7G5UZfHK7f3mjeSRJIk1DIuH94IfzRJOlNZwUpBEARByCdxxS0IebK32c6//MwxAIyqwt//5GFetKOW7fNZXcLmRU7P0KEvnWyUmWSKyCEX23eWf0ZXOTdXL4RzIz70OhmzXuFIu7PYy9kwl7l0jptc6GlzcKzDxcPb3DQ7jXTVmml2GFEVib4BD1cngpirKINWJ8ORdmfFZXDdb3AuwpGO6gjI35kJ82dfu1LsZQiCIAhC2RBBLkHIo0aHceG/JUniXS/bwe+8ahfGCmlWXiwT4yF0Z+fo0a9durjboGefQU+vzkC3QU9bnoJjEhJGS/kHEFJlnqmUbxkNEqkMkUSa2VACq6F8+gN111tLeuiF3aSjt9ONzbi+oFSr08S5UT+nh7ykNRj3xRiYjTDuj6FIEnaTjlaXiXF/9QxRONTm5OwyA08q0eXxALXW0srqzZcvnB0T782CIAiCsE7Vc3tTEErEa/Y30eww8XffvcnTt2ZJpMSJ62aMjQUZGw/yyCs7ua1qTCUfHCv/SFyh/9sDaPNPsTQfW+x+XRe34omcrqdlMs6F/qmcbrMYbs+GcVv0eMK5fX4q0fB8eWcpB44WK/W/aZPDRN+gB5Oq0NvlZtwbZXSVKZ8tLtPC9wdnw7S5TIx4s/+OpTLEUhkC0QffFyqZIlfPDZRQPMXeJjezIU+xl5J3v/zoNnSi3cGqbk2H+MbFCaLJNNPBOH/0+r3YjeV/40kQBEHYOBHkEoQiONTm5OM/f5xEKsO1yQDnRnycG/ZxbtTHnZnK75eTMxqc/eYgOp3EIy/pwGeSmUin8M436g1MhBYCXMDCf09+fZBmhxF3rQmL08hJ59ZL9CKB+Ja3UQp8kSRdtRYkYK7EgyKlQCujqjBfJEGtVc9sqLT+rq0uE0ZV4fpkEIBoMk3fQDZwcaLLzcmB5YMYt6bvTQGdDsapterZ3Wjj2vx2qtHlMT+SVF6vyy2pkurqOmtpDVwpRf/65G0ePz268O96m4H//urdRVyRIAiCUCwiyCUIRaTXyRxsdXKw1cnPPpz9WiCW5NKonysTAW7PhLg9HebaZIBArLoyEjYildI4++1BIDtV7ZFH29CsOsb9vhUf75mL4pmLggQHd9dgsKhMNBkZTSQ3tQZ7kwWuV0ZGwcBsGJ2cbeycFA2PV3V9MkiH28SQp/RL4nraXVwY9S37vVaXiQa7kVgyjUlVmAjEGPPm/3eqsxoYXWU/d2bD2E26BzKy9IqEcl/j8dlQgu111ryss1xEEml0ilTxPbnu6hvwrBoIrQS1Vj1dopfnmiyGpZc0//zD27x4Vz29XeXfK1MQBEHYGBHkEoQSYzeqPNJdyyPdtQtf0zSNobkI50Z89A97OTfq58q4v2ouZDZCAs4+OcKhVgdTk+vIitPgxtU5AJpbbBzvqeNqJklog/1PIvbKKotoc5sZqIIpfFtxt4l7nc1YFkGuM0Ne9jbZmQ7GFrK5zHqFvc12JnxRzgzdK7vcXmfBYVLxRzcX9F2vjhozM6GVsyBngnEOtTq4OOZncbz1cLtrIdtrsWp/R9QARa6eIBfAyQoPdP3sw50c7xSBmrU4TUv7s6myzL4qnKwqCIIgiCCXIJQFSZLorLXQWWvhDT0tAEQSKd784ecqelT8Vkz4Yxv+mfGxIONjQTTg4J5a5rqtBNNpAmsEvNr0KneeGNzcQkuUfZ3Nv6uV26InkUqTSGWYC8c51uEindFQZIlLY35iJdpr78pEAJdZ5UCLnWgyg1lVOL1MT7HbM2H2NtnprreSTGeQJDDoFGLJNBdG/TlbjyyvXW92ftRPR42ZaCLba8egk7g8tvwaLoz62N9i59JYdb4vdrhNjPk2/t5X7tIVnHF6oMVR7CWUBbtp6WdWIp1h3BdlR4OtSCsSBEEQikVcxQhCmTLrdbzjBV38zn+eL/ZSSs6xDhenhzbfDFwCblydhauz2O16al/cwp1lGtV36FUaJmJ4p4PMJEozqLEZdqOOTNU09dm4epsBh1nl5lS2J9TAbISB2cjC9xvtRhwmletTpdkbyhtJ4o2snaF1ZWL5QNGxTteygbHNiCXT63rc0FyEAy0ODDqZOpthxQmCsWQGfZU26JaAUDxNqoIDPsvprDFzccxX7GXkRZvbxKM764q9jJL27O1Zhuciy/ahe9+XL/GZX3648IsSBEEQikoEuQShjL3uYBMf+NZ1xjeRtVTJhjyRtR+0ToFAgsBXBti/y018l4Ob8QRWRWY/Oi5/c4ipCgpuAeyotxJJpLlYpZkw69FZa1m2VO6uyUAMh6myylcXuzzmx21R8YS3XsoYT67/+Lk4n701skavsBtToYouX1vJrkYr1yZDaz+wQjjNKi1OE8l0hniqMgJ7xztdBGMpTHoFCVAUmalAjGanqdhLK0mapvGOT5winspgVB8Mbj9/x8PtmVDV9+oTBEGoNtV5u1MQKoRRVXj/mw4WexkFIUvQ0+akt8vN9joLZr2y4mN9kdxPj7t13UPgyXEeicrU9Hs49/UBkhUW4AJwWfSM+Uq/v1QxpdbRr+36VJCWCr0wjSYzeMJJFAm667d28XhjKsiJHDeGDsVTnBr0YFnlPaIS2YyVG1hdTofbzOXxADemyj+w5zCp7Ki3cmrQy7XJIP3DPs4O+zg14OGt//oc/3V+nE89P7TqNkLxFD/yd0/xe5+/QDy1vgzJXBr3Rbkw6uOpmzN8qX+MuVV67eWKP5okPl8aHlshYP6p51Z/3gRBEITKIzK5BKHMPbazjp842srnzoyu/eAyltFgxBuh1mrg9kwYkyqzq8H2QElYg82AJw9BLgC/L87ZJ0fysu1Skdxgw/1qI0kwFVhf5mQ8labNbcIXSRKswOmoaQ3cZhWXWSUQS22qL5IGnB70cLzTxakclUBC9v1iT7M9Z2WV5UCS1u5vVkkMusq4T1tr1WPRK9ycXj5YN+KJ8q7/6AfguduzuC16JCR0skSLy8TbH+oglkzzrv/o58pEgCsTAa5OBPjzHz/A/jz388pkNL5+aYILo37+9ck7D3y/0W6kvcZMg93IyTtzaMDLdtfz6v2NPLqjbl09+VZzfh39Af/bi7q2tA9BEASh/EhaifVdkSTJDvj9fj92u5iKIgjrMe6L8shffK/Yy8i73Y02THqFc8M+NKDJYUSvkxmau1eeeKDFsVDWJGzczgZrRWRG5EtXrWXDUyfb3WYa7Ab80SQOk8qoN8KEP/9ZDoXUVWvBbVGRkPBGEiRSGZqcJm5NB9dd1pjLXl937W2yE4wl1yxxLHcNNgOxVCbv0zBLxb75iaCedfSWK2XHOlxcnwpuKghuMyjoFBlFlqi1Grg2ufSGj1GVec8rdvK2Ex1YDfm5p/2LnzzFd69Nb+pne7vcfPCthzddinlnJsRb//V5ZoKrv5e2u818+ddfgMuiX/VxgiAIQukLBAI4HA4Ah6ZpK/ZWqYzbYIJQ5eQquINvM+qwGO4FuCA7QdEXSdDb5eJQmwOHUcftGRGg2QpfJMmxDheqUvmvqY3aXmchuYmpicOeCKcGvdyYCnFq0EsyrXG0w0WHu3LKGQdmw5wZ8nF6yMvtmTAj3ih9Ax5SGY3jnS4OtTpochgXHm/WKxxpd3Kw9V6myeUxP3ubcntz68pEAItBV/Gli2015qoJcEH29VPuAS6AMV9k01mewXiarloLs6HEAwEuyJbv/e+vX+NV/+fJvJUOGtXNH1d9Ax5e83dP8dGn7hBNbLy88huXJtcMcEH2/ffSuLjxJQiCUE1EkEsQKsB6J5SVs65aC2eG7gW47vJHU/QNeDk/4icYT9FVa6HVZaLeZijKOsvddDDO6SEvnTWWYi+lpBzrcDHiiTCag35ls6EEZ4a8FXGRvpZANMWpQS/nR/3MBGPYDDpOdLmJJNKcHfZxYdRPvc1Ab6cbvU4hGEuyxQqmB1ybDGLSK0sCapWmEsthV7K70VYRZah7m+xbzug8O+xbMzA85ovy+bO5b2eQTGe4tUKJ5Xr5o0n+7GtXedFffZ+/+eZ1/u25Qb58bozpYIwr46sPP3nz0VZqrev7nK+ygaOCIAhVT/TkEoQKEK2CIFd8Hb9jRoPL8yfGHW4zqiKRTIuz281QxC2QJbyRBIkcv5ZC8RQWvUJ4E1kM5SiVgY5a8wNTD6eDcaaDcXranFyZCGBUFSI5fk5kSeLOFi/IS5VOhskqmrBrM+oeuNlRbsx6heG5jZU9rySzjrYj3706zTte0IW6jjf2WDLNZ0+NsK3Owot21C37mHA8xe9+7vwDPTE3azYU5x+/fwvI9j2UJYl0RuMf39bD6w42L/sztVYDh9ucfOfq1Jrbb3ebc7JOQRAEoTyIIJcgVIBIorLv4tfbDFzfYJ+oIU+ERruBjhoLc+HElu84V5v4JsryKlGNRU93vZW++wIzuaBpYDdlJ+JVS6Dr0tjK2Rn9Iz7sJh1GXe6DXHaTyvQ6SpvK0eE2F6eHyj+zaT1URWK8Aqa/RhJpDrTYubjK8bBe6yktPzng4Y++fIneLjcn73j4kx/bj/6+xv3xVJqPPjXAP3zvJrFkhoOtjhWDXD//ib6cDopYTNMgPR+4e1H38vvXNI3f+8KFdQW46mwGaq2iH5cgCEI1EUEuQagAlToQr7PGTDyVodVl2tQF6mQgzmQgToMoXdywgdkIvZ1u+gZzH9wpJ9vrrQ9kHuXShD/GgRY7o94o3iooX1xLOJYipuT2DU2SssHKSb1CqAKDiYkqCkh31lhWnEJYbrbSz2qxqcD6Phv/o2+E/+jLTgd+45FWzHqFeCrDE5cmGPZEePb23JKyV4lstunipvWapvHJZwfzFuC638BcmMNm5wNff/83rvH46fWVYOoVeV0ZbIIgCELlENMVBaECaJrGr/37Wb5xabLYS8kZg05mR4N11cyPjdheZ2FoLsLBVgdnh3052WY1ONZRPVkiy+lpd9JfgNeLCCje011v4dZ0bkq5FuvtdNFXAb2c7mcz6kiltaooW99Rb62IIJdRldFJUk6CrqosoQGpPDWearAbUBWZv/6JQ3zn6hQfe3ogL/tZzofffoRX729a8jVPOMFD7//uhoK7f/S6vfzCC7tyvTxBEAShwMR0RUGoIpIk8RdvPEjLJkdxl6KMpuW0ob7TpKen3cnZYR/b6yz0drroqhXN1ddS7WWLhcoAODXkobfLXZB9lTqHKfelRUfanRUZ4IJs0/ndTbYlGTeV6uZ0iM6a8u+vtKPemrOswmRG40i7KyfbWs5UIM6oN8rPf6KvoAEugJv3tSlIZzTe9+VLG85evLxGE3tBEAShsogglyBUCIdZ5UM/fWRd/TnKQTKt4czhxe6ZYe9CicXtmTB9g14GZsM4TDr2Ntlytp9Kc3HMT3e9tdjLKDidLHG808WpPJYqLqZp2fKglThMOo533ruQ3d9ip9VVOUHtxcLxFDZjbgM2l8YDnOhyc6hCJyz2D/toc1fm6+F+LnP591cy63P7+vZGEznd3nKKccPjqVuzC/+dzmj8widP8bULExvezhf6R4mnKj/TURAEQcgSQS5BqCCH2py897V7i72MLTOqMr1d7oKUyfmjKW5OhyoqCy7X9Iq0agCm0rS5TXTXWzk16C3oFLf0CuVGzU4jep3CqUEvPW1ODrU5uD0dJpHK0F1XedmI1yaD1Flz20cvkcpwcsDD+VE/2+os9Ha62d1oY3ejFXcFBE0Ark4E2dlQ+QHpVKa8s0sbHcacT8O8ORXiYKujYm5y3XVmyMuNqSA3p4K85V+e44c3Zja1HVmSUKTKem4EQRCElYmeXIJQYTRN4z2Pn+eL/WPFXsqm9LQ7GZoN4ylwE+4GmwGDqjDsiRR0vwAHWxzMhOK0ukycG/HR5jIzMBemlN6eD7TYmQrEK3ZCHcDBVgfpjMbQXJhQvLB3/XWyxIltbkY9EcZ8UY50uIkl01wdD9DkNC28Lk2qQiyVXnhtmPQK+5rsFdc3zW3Ro8gSMwV4ve1tsnFlIpj3/RTCkfmS7Epl0MkoEkSS5RXo0skSh9ucxFPpnExUXMnRDhdnKuy9YH+LnasTwRVvAqzXt377UXY2iKxtQRCEciZ6cglClZIkife/8QD7W8orSGzRK/R2uRnzRgse4AKYCsapKfCY8RanieOdLmZCcSb8MU4NelFliTuzYQ40Ly2ranOb2Ndso7fLTW+nm/r5iZFOs8rxTtfCv+9nN+o43ObEYVIxbWGa18WxANPBOI0O45KyuUpi1ClcHg8UPMAFcKTDyTO35hj3xzCpOvoGPMwG47S4TEsCr9FkeknwM5pIc3k8QG+XG7mCEhU84QQS2Yb8W3ndroc1x6WRxaSr8Clyh9qcZRfgAuioMXN6yJvXABdke1lWmktjgS0HuAA++J0bOViNIAiCUA4q+2xIEKqUUVX4l585Ro2ltMtwFFlCN39l3l5jpm/AU9RMIVWRMakK+5rt7G/OfZBQJ0sc7XBRa9Wzvc5CPJXm1KCXiUWlK3cv4C6M+entzDYi39dsx6BTuDwepG/AQ9+gh2Q6w6FWB75IklODXhQ5O0FSkrL72d9i52CLg3gqzbkRH/5oknQmw5F255Z+B380SaUWL86G8/fac5hUdjfa6O1ycbTDSW+Xm/3NdiQJ9jTZ6BvIZl8k0xrBeAqAcX+Mwbm1MwujyTR9Ax4Otjrztv5imA7G6Rv0oGkaPW3OvOyjt8u98NwLpa1z/jOi3BztcGEzqHnfz+5Ga0EmwZarYCxV7CUIgiAIBVI5ty8FQViixWniQz99hJ/+6Mm8jRbfqqPtTpCyIRN/tPDZW/e7OhEglsxmxjjNKkfandyeCedsbUfaXfQNejDoJOLJNME1MoYujflosBm4Phng/p6/3kgSb8S/8O8JfxyIYzPqCMVSXFomYyCR1lC2mO7T7jbTN1h+F5rrkUznJ0NElmBHg5XTy0z3O9TmIJ3OzfF5eyZEV62FgdlwTrZXKmKpDP0jPnY1WLGb1IUBEluVDXBV1mu51FpQ5JLdlP9AUa71droL9n6Z62b2lebskJcnLk3y6v2NxV6KIAiCkGeiJ5cgVLhPPT/E+750qdjLeMDRDhc3JgNrBnpKQb3NQIPdwLXJIMlNBiT2NNm4PR0ikaOAxmapisShVuemejgd7ciWKVZazxeHSUWRJTzh/E0oK1SvnBaXiUg8hbcIJb+F4Lbo6XCb6B/xr/3gVdTbDMyF4hT5cMy5Su7JpZN5INhfytrcJiZ9MZIFusm0s8HKjalQQfZVrtrcJv7yjQd5pLu22EsRBEEQNkH05BIEAYCfeaiD97/xAA323E4r26pkOlMWAS7Ilk1dHAtQu4WJb1aDrugBLsiWw12bCNBVa6HeZmBXg5W9TWvfUDjR5eb8iLfiAlx2o44WpzGvAS6gYP2yxrxRdtTbcJvLL+tlPTzhBP0j/i2X3U4H4zy0rQa1ws6CSiEjNl+28v5baD1tTmYC8YIFuCRg1BstyL7K2Ygnyts+epL/9/xQsZciCIIg5FGFnd4JgrCcn+pt57O//DCuErjw3dlg5WiHkwujW8vEKAbHJstljrQ7c1ZilQuhRJqB2TDTwTjXp0JcnwzQ7jav+Pgmh5GTA56yyqJYj542JzpZLshkvRtTIXQF+sTtG/SQgYWebpVIp2w9ajjmi9LT4cZh0nGwxYHdVN7lXhIwuai/X6XpqLEUewnrUmPRc3ncT6yAb5ga0Ooy0eIyFWyf5ey9X7rE2eHS+UwWBEEQcksEuQShSnTWWvjw24+i5uDicLPMegWzquPMkK9oa9iKCX+UYx0ubIb1Xwy3u80lXz6U1qDRYcSsX36KXbOzNC+cDrY6ODE/bbK3y0VPm5Nmh3HdPz8XTpDMFOZC1B9NsrfJsfYDc8QXSdI36MFqyO9kwmJQZYmbWyzLOtbhYnAuwpkhL+lMdtBDNJGm3V2ar/X1aHaaiCbLIzt2M2Kp8vjdkukMxhXeS/PpxlSITIn23yxFnzszytBcZfUvFARBELJEkEsQqsiJbTX80ev2Fn6/XW72NdtJpjOcG/UVfP+54o+mOD3kZU+zHcs6L2KaNhB0Kaa+AQ97mmzLfm+rzerzQa+TkZE4OT9tsm/AS/+ID6dZpWWdQblhT4Qd9dY8r/QepQgB5u56a8lPWd0IVZHY3WQjvoksGb0ioVckjra7FnrSpTMaoflplsn5wQyFyrjLJZ0MVqOOSo5xxJPlkUoaiKXY3VicnrIT/timM46rzadPDvMjf/cUf/nENeKpNGeHvfzbc4PFXpYgCIKQA6LxvCBUmUxGY/f7niCRp0lyi0kSbK+zcmu68prhdtdbcZhUgrHkqs1+620GvJHEphvWF9qJLjcn75s4d7TDWVLZdyZVYUeDdcWSV7MqYzfr1yzd2tlgZcwbJZwoTIbIvmY7l8dX7JGZN6oiUWs1MOGPUW8zYDfq0OsUTHplSY+1WquebXVWJODUoKckAybHOlybGpqwv8XO9ckgdqPK3Br917bVWai1GvCEE7jMKqPeKA02I+dHfZTgU8LuRhuDc2FiZRIE2qyDrY6yKXOvtxmYDsYLvl+3WcUfS5EuxYO3hL18Tz3fuzbNkXYXj7/zYeQSvLEjCIIgrL/xfHk3oBAEYcNmw/GCBLgANA0M5ZgWsQ53A3dr9T3yhBMFazqeCxdGffR2ubk5FWRngw1vJIEiFfcXaHebsRt1SBKM+WLYjTqSq7yGI8kMyWCcWque2dC9gIYswZF2F6F4CkWWmA3GCxbgAogVqZQsmdaotRqwGHQLvdju6qo1YzOqpDMad2bD9M0HOIsVkFtNT9vmpoIuDoytFeACuDMT5s7M0jKmCX+MQ20Ozm9xqmM+XJsM0tvpRpJ4IEBdKQ62Org8VnrP/UpkWcJu0hGIpgq63646a8UNB8m3rloLl8YCZDQ4PeTlD754kT/5sf3oK/TcRRAEoRqIIJcgVBlFkrAZdATj+T35NukVttdZmPBVbiNkgP4RLzvqrTjN6gPN5Q+1OrgyESiJqYrrFU1mFgIdJwc89LQ5iBQhOOMwqXTWmFFkiXMjviVZReuZhJjMaHTVWmhxmkhlNG5MBTnQ4thUkCRXaq0Gbs8UpwfMxRUCBAOzkWW/fmc2jFmViZRIdpCqSFye2FzQLVdZGedH/CWbTdQ3mD1mj7Q7uT0Trqgpi8c7XSU1uGM9LHqlKEMAdOV0R6UE9LQ5mQ3HmQzc+1t95tQIj58ewW0x0Nvl4kM/fbSIKxQEQRA2QwS5BKHK1FgNvOMFnfz992498D2LXuFDbz/K2SEvo94oJr2MxaBjOhDnm5cniWwg68VhVJkOxNeVOVHOkmmNm9MhFAl6u9wLASLI9vsplzLFlegUGX+0sH/Dg60Opvwxzm8xmLD4wlidD5YViyJLTAXKJ+AbTaQ51unidIkEF/Y02rmwyUyewdkwBp28qT5e95sJxjna7uJMiU5mi6cyFRXgKrXJtOuhKhJTRZpyWWIdSIqq1WnCqFe4NR3CoJPY22RH1Skk0xnk+ezklbLeMhrMhuIr3hwoRemMxsk7czzSXVvspQiCIBSdCHIJQpW4Nhng6xcn0TSNx0+PLPuYD/5kD4/trOOxnXUPfC+WTPOhH9zmY0/dWVeJ11w4vu4G4JUgrUH/kJcj7U7ODvtQZKkiJjcNz0WwGQv3UdFZY+bymJ9cxwaTRe5Rk85oOM16dulkrm9xMmChnB700tvpZioQZcgTLepaTFuYVjcdjNNdn5vegBP+GBP+GLsbbdyZCZVcluZMME6dzcBMEfpB5UM4Xh4TFRfb1+woaEDdqJPZ3+JAkaVNB4KLodaqZ1utFeaTz25MBfFFcheglaRsoKrRbmQyEKN/E6XGY94oU4EYDfbSHiCTSmd40V99n7lwgm/91qN01lqKvSRBEISiEgXnglAlmuwmgrEknz01suKFw+Vx/4oXR0ZV4T2v2MlT/+OlvGTXg0Gw+7W5zaSr7LZyMqNxdtjH3iY7DXZDSTap3qipYJypYJzeThcmdfOBhvWqtxtzHuAqFQOzYcZ8xQ0WbdTpIQ+TgThuc/EmNHbVWrZ08e4yq0znOIvu2mSwJC8kp4PF/VvlUovTxPWpYLGXsWGF7OWkk6HBYeT0kJeTAx6iBewxuFXb6izzk3Gz/5Mlid4uN+qiksv1Vl/efZxOzg5POdzmxBdJ4oskl5QiblRGg1/6t9MlHzTWKTKdNRYSqQzP3J4t9nIEQRCKTgS5BKFKOMwqv/XynXz/d17Mu17avexjPvidm3zq+aFVt+O26HnJ7vpVH2NSFWoseryhyi5VXMlcKE6zw0SoDLMQlhOMpegb9GIz6ujtdLO9Ln8X94ECl0YWUjCWZE+TnWZnaWcFLJbRsiVw3Q3Woq3BYlC2dPHujSSptRpyuCJodBhXnapaTA6zWuwlbJnbokcu0zPUgQL23TvS4WZobvm+eqVGJ8PeJju9XdnPkL6BpaWCnnCCvgEPDrNKb6ebYx0uLHodB1sdy26vs8ZMb6ebI+1OJEliR70Vi0Hl5ICHcyO+nPUdvTDq59pkaQ3hWI7FkM24/qsnrovpmoIgVD1RrigIVcRhUokm0hhXyMhRZInXH2xaczuv3t/IH3358rLfO9LuZDoY59yIr+z7UW3WVDBOe4252MvIuelgnOlgHLMqc7TDhSJLzIXiyzZTP9Hlxh9NYjPq1uypU2vV01VrYToQ49pkaQYOciGjZfuEGVUZt1nFk8PSnHzrG/DQ0+7kyrifeKqwx7W6wWjH9joLLrMejeygjXxMHZwLxelpc9JfxD5vKynWFM9cMKkKB1odXBz1rWvARKkxqQqxZGEmKvZ2uZb0gCx1Rzvc6zoOZ0MJZkP3Hndh1L9k2qsE7Gq0cX0qyOCiAN/NHJQjr+Q3P3OOP3rdXt7Q05K3fWzVS3bX8Z2rU9iMOhQxgEAQhConglyCUGW+fG6MP/7KZfY22dleb0UnS9TbDTQ7TGyvs7KjwbbmNoyqQq1Vz+wymVoSMOotr5KsfDg96KXdbWbYUx532Tcikswsadi7r9mOxaAjlkhzYcxPrVXPsCfMhD9Ob5cLVZFWDXjW2wycHfJWbJni/TprLARiSSijIBdA/7CPE13ru1DNpegGgjYNNgPeSDLvUyyTaY2LY9mLb7NeQZYk4qkMGhrxZAabUVe01/SFUX9JDQ1YL6dJZWejrawCN/dzW/RM+vP/+dddb30gE6qUHW51bmmyrXlRT76e+b6XheQJJ/jK+fGSDHJNB2I8c3uWjz41AMCkP0Ymo+VsqqwgCEI5EkEuQagy2+qs/NPbjvCa/Y2bPgmyG1U+9yuP8I5PnmJgdunFpLfMLtzzRQMa7IaKDHLd7+4d9nqbgQMtDrzhBKPzvaf6Bry0uU00OUz4o0kcRhVvNMGYN7owrfPKRJADLQ5GvJGcNh4uVcOeSNn2TTo54KG3003f4NJARL3NQDKdwaxXGPPltv/VegcfHGl3MhmIMVWg/jmpjLbw2l9Ou9tMnU3PuWFfQYNdvZ2ushlusNiuRlvBA6i5NuaL0uw0Mp7jY+B+/kgSvU4mkYOJoYUgSWyphE5CwqJXUHXyqsdcPvW0OYuy39V8sX+U9zx+fslUzVRG4//7z/P8zx/dh8NU/qXLgiAImyGCXIJQZXq73DnZTmethS/86iP86deu8KX+Me6evzoroB9MrlRbuebdcsb7jXiijNw3na/RYVwIcgFcHPOzq8FWFUGuSCLNnibjQiCw3ARiSY53uhjzRWl1mUHLNqhXZAlvJIlZlYkksxffDTYDNqOOW5vMrJIlHnjtrPS4cyM+SqkVzbAngiSBLEkFHcIxOBfBH938cdTqNNHsNBFJpDDrdWS0bFaIRDZQcWcmlNNS22MdLjKaVrYZXDvqrRhVhZvTQeptRsZ9+b+xoaGhkyXKpaBzq6//vkEPVoNuIWOy2s2G4vzmZ/p57vYcyz21X+wfw27U8b9+bH/hFycIglACRJBLEIRNc1n0fOAth/npE+388r+dYS6cIBRPocoSyVK62iwSnSLKBVbS4TYz6V+a7TAwF8agkwre86nQVEUqaHPqXLs2eW/i3eKMlUxao6vWvFCurEhgMeoY8kTo7XKTTGcIRLNN4D2RBDfXyDY61Oogmkyvq8F7Z42FO7Ol95wm0xmkAr8NdNZalg02r6bFaSKtacgSzITiqwZgVUXieKeLobnIhvdzv65a85bK2PJFJ0sc6XChaRoS0LdC6Wd3vZVb0yE0wKTKBcvcbXWZOVeC/eBWEslBE/hQPAVFHHL4+JkRXrmvka5aS0EnaN4vlkzz3O05nrk1t+rj/u35IX7r5TtxWcoza1gQBGErynR2jSAIpWRng22hbGI2FKczj9P3yolS6KvbMnJuxMuJLjdG9d7HUCKVqaipULsbbdgMD95LanaY8FXoFMmB2Qg6Raa3y43NpHJnJkwync3S6R/2cWc2zMkBDzenQqwUA7YaFI62uzg/6l/3BMM7s2GOtDsx6ZcfqlEsdqPKvhYHhWyPc2uDDbjbXCaS6QyT/hjjvtiamTLJtMapQS+BWJK9TfatLBVXiZbtdtaY6RvwcGrQS9+gl4MtDuptD07otBkU7r5jRZP5zzAyqTLHO11lFeACMOnL/576iCfKqz74JLve9w2+fG6saOv4Yv8Y7/qP/jUfp2nw7s+s/bhSdGMqyM2p4NoPFARBWEH5f+oIglB0F0b9C+O6o8kMTtEHAoBEWpRVrCSe0jg54EEnw6E2B+dH/OhkiVQFBbliyTROi8quRhunh7xIEphVhUaHkXq7gdh8llKlld9EE+kVS88Wl9bsbrIv219nT5N9zYmcyzk77GN3ow1fNPlAlmCxjHqjhOIp9jXb8YQTZDLamj3DjnW6uDYRZF+znYymEYimCMSSuC36dfUj8oQT7G60Lcm4W06r00Sjw8jAbJi5TUwyjCUzXJ0M0Nvl5tpkgEB0Y9k6zQ4jYyU4pORAi52LY0uf5wtjfvY325kOxtnTZCOWTDMwW7h+iw02A81OE3dmw5s6NopBlSV2NmYH2YyXaWn2cjQtO22xzmbgke21Bd//XGj96WyDc6WX3bqWv/nmdf7x+7eQJHj5ngb+8W09GHTru3kRTaT54HducGc2TIPdwM4GG5P+GG8+1kaH24wkgSRuPgpCVRBBLkEQtmxxH6VoIs1MgRo/l7oRT4SuWssDzfmFe1IZuDKWvVD2RRLrztwpBy6Lnv5hHyOeKMc6XaQzGoFokrNDXpIZjYOtjoUAV6UF+Nbj8nhg2WDM0NzmgwcDsyH2NNmLHuTqrrdiUuWFXmR3g1MnutwkMxqeFYJKRzvuTUW8vwn7hD/GgRYHyXQG+/yNhAlflBFvFEWCtJbNLOpusKGuUiq9vc6Cy6zn9JB3y33hNA36Bjz0drnX3VNrV4MNh1llyh9lvESCkYuZV8g6ujQeoLveytWJ7OvVbtLRP+IvyJraa8xlE9yC7Ouw2WUuWpP4QvCG898/0h9JYjfpFgIzM8E4X784ue6fH/FEuTUdpLt+7anZpeJur05Ng29fmWLfH32TV+xt4EM/fWTFANWNqSD/++tX6R/2LduP8EM/uI0iS7zlWCu//yN7sBvFjVhBqHQiyCUIwpYFY0tPKtIZrSp6K61lNpRgNpTAbVZxW/QYVIUJfxRPAU6Oy0kyozHiidBdZyGd0bhdxv2q7jrW4eL6onKL08tcoN6YDHKw1YFekTk34mV/i51LY5V7Ubic8H29enraHJwb3XjgQJYgo8GhNlfRG5gfanVwfoXf4dyID5tRh9usxxNZGug62uFicI2A+MWxpdu1GXVsr7MwG0rQ6jLhiybpH/Y9MAnOolfY2WhDkSQujwdyfoz1DXg43uni4qif2CqZiYdbnVwYK60BAYvJEkQSK2ekLS4F3Wjm2laUS/aJw6Sjw20hEEtyfY1MwnJ3esjDaw825W37/3l6hPd+6RKHWp286WgLtVYDH/zOTa5MrO8z4ndftYtHttfQYDfmbY358Isv6uLjzwws/DuV0fjGpUkujPo5tMKEy3d9un/J5+1y0hmN/+gbocVp4jdeuiOXSxYEoQSJIJcgCFuWvK8sb8QbpcaiZ1eDiQtjhbnTXco8keTCNDKnWeV4p4tb0yG8VTBJcL0m/DEm/DHqbQZaXaaF5uXlyKRXuDDqI7HGdM1YKsOFRcEQk3qvJEOvk1FlifCiCZSLHetwcWc2vGJGULmYCsY51uHi9JCXVqeJq5PBZaeFraWjxkIonipqgGt7XbYh9WrZK/FUhngowb5mO/X27OTJU4NedjRYObOJBuzBWIpgLBtsWZzBcLdUutlppMVpwj8f/MqnU4PehYwup1mlq8ayZPiGJ5zg3Gh+17BVOxtsD5QqloJwLMXxThfheBqrQUckkcJi0HFnNlxSmdN1NmPVfOZPBfKbhfiD6zPEUxn6Bj30DW7sfU2vyPzooWba3OY8rS5/vn5h4oGvnehyc7DVsezjg7HkmgGuxRRZtKMWhGogglyCIGzZq/Y18r1r03z/+szC1zTg0nh1nOxuhC+S5NSgF6tB4USXm0gixVQgvuUpZZViOhinu95a7GVsyYEWx6aCLeO+KIdaHWjAqCdCd4Nt2e0c73QtlC7d7WdWrhKpDFcnAryguwZvOLnp8rmB2TB2Y3FPaSwGHaPeyLrKThcHwo60O5kN5TZY6Ysm6e1yc3bIu2QCZr71D3vZ1WDj+lQQtUHm7JCHcmo5V+zX0P0ksj3qLq+QvdPb5S6JINfBVgeheLIke6zlS74DSNu2MMAnmcmUZUleLJnm/d+4+sDXr00GmQsnqLU+OPzhk88MbmgfH3nqDg12A6/Y24CtDJ8jQRDWR9I2c8s0jyRJsgN+v9+P3b61qT2CIBSOpml89+o0H336DvFkhtlQnJEqOuHdCnV+XL0nnODmBiejVarj8823gzkYPV9ItVY9qYy2pE/dZh1ucz4wRa2r1sKkP7owyW1vk53JQKysM7qOd2YzubZ6OrK/2c6lIvYAqrcZaHebOb2JjKxK0tPupH/YR4vThDccJ1KAqYO5IEnZyadjRW6SLgFHOpzIkrTicSFL2fLWUujTZdDJSGQzUxtsBjprLVybDC7bG6lSGFWZ0+99BdZlpufmyvBchFd+8IfENnn8/ObLdvDbr9iZ41Xl319/8xr/9P3bD3x9R72Vg61OYqk0bzrSwpM3Zrk05t/U+61eJ/O/f/wAP3G0NRdLFgShgAKBAA6HA8ChadqKJ32ldctKEISyJUkSL9/bwEt21/OFs6N84Ns3ir2kspHMaAtNpg+02BmciyyUIFWrU4NeJGB3o22+T1eoZPv43OU0q0QT6RVLDDfKG44v6e+0t8nOiDeyEOACuDIRYEe9lRansSTLrFajKhL7mx05u1A35/GCczXHOlxEk2kujwdERiZwcdRPb6eLc6N+TKoMZRLk2rvCtM9C2N1oxWHSk0hnCMZSnBnyrfr4UglwQbYE12lWiaUyTAXjTAXj2E069jbZ190/qtwkUhm84UReg1ztNWZ+5qEOPvLUwNoPXsatMrxhlkhlVsxMvDkdWrgJ+LVlSho34iM/e4zHdtZtaRuCIJQ2UZgsCEJOKbLEm4+18f3feTF/+CN7cJlFOvhGXBwLEEukOdbhokx6DeeNRrZM4eZ0iP3NDg61OnBb9MVe1op2NthyFuACGPJEuTjmp8Ntni9piy8b/Lw5HWJgNszepvLKfk6mNSZyNF3PbdFzZ6Y4F3UaVPQUuY1KZTTSGnTXWfEXsDn7VhkX9cQrNFmSOTngoX/Yt2ZwoqfNWRIBrn3NdrrrrRxqdTyQuRqIprgzEyr70vOVZDT46hYDLWvRtK29P54d9lJq1TpreeLyJI+fHs37fno73XnfhyAIxSXKFQVByKtQPMXHnx7gI0/eKbvSs2Kzm3TsarCVxAVNqXCaVbbXWkikNYyqjCxJJVHmeazDRf+wlzV6zedVk8OAy6znykR5TDVTFYmMlp16tRXHO134o0luTBXnNVBj0dNgN3JtMlDy2YaF0F1vRa/IXJ0IUE5Ph9Os5qTMeKPaXKZ1l/a7LXokYK4EypPX83xZDQogEarAz/7eTje//Yqd9LQ78xIgHfdFeeQvvrelbfzlmw7w1uPtOVpRfiTTGU4NeoinMrzr0/15f628Zn8j//z2o3ndhyAI+bPeckWRySUIQl5ZDTre/bIdfP93X8yr9zUWezllJRBNcWrQS5vbxIkuN71d7qrP7vJFkpwZ9nFxzM+pQS8nBzyM+6K0uExFXdedmVBRA1wAE/44g7NhVKU8XiTb66xbDnCpisTFMX/RAlyQDThcmQhwrGNpdsD+Fju7GmxFWlXxOE0qV8oswHWw1YG/CAEusyojy+s/Xtvd5pIIcNmMunUFBEPxNDsbKjObq2/Qw0995Hl+9f+dIZOH6LYuB+/j5TAI4NtXpnjbR07yjk+cKkgw9HCbM+/7EASh+ESQSxCEgqi1Gvjntx/hr950EL1OvPVsxIgnyskBD30DHo6LNPslJGBvs72oJ/OSBJ21FhpsD05+KrRIMsOO+vIIrNyZCdHoMG5pG9vrrKSKHV2cd2XCz5F2J4faHPR2urk0Fshrz55S5Lao3JkNF3sZG2LWK9ycChY8KKdIsL3extBcZF2PN6kyF8eKP0m11qqns2b9kwXPDvvo7arcz63vX5/hY09vrm/WakI56Mt5pgxKFgs9NOUjTw0w6o3giyQ4PejJS4BSEITiE1eagiAUjCRJvOV4G1/41Ufo2MBJsnDPhREfR9qdVXfxvBxFgh0N1qKXc2pa9kIu3yPl18uolsdHeyKtUWfV09vpZlfj5gJz3nCCfc2l0dogFE9zdtjH+RE/fYPZQRITgSiH2hxYDTpsVXDM6mS57CZ9pjIaDfatBVs3wmHSZV8TRnVDQatoMkNPuzN/C1unFqdpw0Mu+gY8Ff2Z9fffu5nznoDNThN249aes2duzfHX37yeoxXlx/N35gq6v9lQnJf+zQ/p+dNv8xMffo6PP5P7AKUgCMW3oTNhSZJ+X5KkU5IkBSVJmpYk6UuSJO267zFWSZL+UZKkUUmSopIkXZUk6Vdzu2xBEMrZ/hYHT/zmo/zqi7djKmKz33IUS2U4O+xj9yaDApVkT5O9qGVq97szWxprKacb0xfHAvQNeghEkxzvdG3451vd5pKeIjbui3F+xE8onqLBYdh0MK9c1NuLn824UYlUBpc5fwMt7paaH+1wcbjNSSCW4vyIH3904+WRpwe9dNdbONjq4Hini7oCZo+2OE1011sXpr1ulFlfuZ/1wViKX/y/pzmZo4BNLJnm979wkUAOsrlK+T1nJhgvygTORDrD3QS3x0+PcGs628dyOhBbNvPtS/1jvPFDz/CnX73CqHd9mZeCIBTXRm8RPAb8E3Bq/mf/HPiWJEl7NU27m5/+f4CXAG8HBoFXAh+SJGlc07Qv52TVgiCUPZNe4X+8eje//KJtfPjJ23zsqQFS5XR1XmTiuQJLiWUGmPU6POHC9/W5n24DPX5KxYQ/xmwoTm+Xm74Bz5LvHWxxcG0yQGJRWeLuRiuqonBmqHyGMtyaDnO0Y+OBvHJi1pfWMbkeBp3MmC9/5c6pjJbT1+mt6XvloBa9Qne9BbfZsJA9mGuqInGk3cXJgc1vXydDNIeTZ0vRwGyYt/7r8/zMQx388ev3olM2n1F7YyrIF/vHcrKux3bW5WQ7+fCWf3mOgSKXN9+YCvHznzhFg93ImSEvr97XiF4n86ajrTy6o5avXpjgn39wm+tTQc4O+0ikMvzpG/YXdc2CIKxtQ2cjmqa9evG/JUl6BzANHAWenP/yw8D/1TTtB/P//ldJkt4JHANEkEsQhCVcFj2//5o9/NihFv7kq5d5/k5+TtQrSYPNwLkRX7GXUXTjvihmvUKkRC6emp0mRkug0e+FUR96nUwilSn2UjYkmdboH/Lyoh01xFMaV8f97Gly0Dfoodaqp6vWggYMz0W4NR0um0DvsQ4XsWQaRZa4MOor9nLyq8T7/ywnmc6gbiEgsZZJf5RWV37eG8KJNLemw/R25TajS5agp82FImezEbcS4IJs1u1GSxzL1aeeH2LcF+WjP3cMaZOTYvY3O3jl3ga+dWVqS2vRyRI2o7qlbeRLMJZk2FMaWVGj3ujC8fnE5UkAvnJ+HL0ik0gv/RyNJNJomrbpv60gCIWx1U91x/z/L/70exr4UUmSWqSslwA7gW8utwFJkgySJNnv/g8o3bxaQRDyZm+znf/3iydEGd46BGPFzxYqBSPeKDUWPXub7DjNxT2Rb3QY8ZZIL6JEWivb4yiZ0UikNPoGPESSmYXSkNlQglODXk4PepkOxssiwNXkMHK0w8WQJ8Kl8QDnR/0kS6RJfj64LXpuz5RX03lJypb35rNf1JgvhivP70+5vtw+1unmzLCXvkEvoznIctPJ5dEnMFe+e22aD/3g9qZ/XpYl3v/GA+xp2lq/wVRG48ZUcEvbyJeLo/4tT9fNt/sDXACfPzvKn371ask39BeEarfpTx0pG8L+APC0pmmXFn3r3cAVYBRIAE8Av6Zp2tMrbOr3Af+i/41udk2CIJQ3nSLzxV97Af/4th72bvHkrpLtbXas/aAqMeKNcmUigC+S5FiRSsFOdLlJpDLcLKHeUAOz4bId7nD3wiKd0Rj3x4q8ms052u6kxWnizJCXmWC82MvJO4NOptlpZK5EAr3r0dPmZFeDjVqrnut5DgRcHAtwtN3FsU4X22otOS8pTi1zMb4VYznuO1SN4YC//dZ1Xva3P+DM0Oay4GqsBt732j1bXsdUoDTfQz9zaqTYS9i0jz8zwE9/9KTozyUIJWwrt67+ETgIvPC+r78beAj4UWAIeJRsT64JTdO+s8x23k82WHaXDRHoEoSqZdIrvO5gM6/c28jZYS9TgRiT8/16ZoJxpoNxxnzRdY9dr0RKGfZcKoQzQ156O91MB2MMFuj1oSoSGU2jdb4p8/39pIolGEstBLkUWSr5O+YAekWiZ4u9f0pFIJYqqaBnPjU7jZhUhUtlVo427IkUNCh3ZvheX64j7U7ODvtytu1UDrJKzHoFCWh1mXMa9HOYdFVZXp/R4PZMmG9cnORoh3tT23h4e82WyxZHSqQk8H6xZGm0GdisZ2/P8cK//D5dtRaOdrj42Yc72NfsEOdnglAipM2kW0qS9A/AG4BHNU0bWPR1E9lsrB/XNO1ri77+UaD1/p5eK2zbDvj9fj92u8jkEARheV84O8p//9yFsihbyrV2t4lhT/F7P5Wqfc12Lo8X9oJbksBhUqkpoZIti16hxqqn0WEqaPDt7in+Ro5Mt1mPN5oox5ZOy7IZdQRzMBmt1PV2ujk/6iWeKq8/3LFOF6cHize0oLfTRV8O92/QycQ30YOv1WWixqLHH00yNBfBoleIJtPkuqq2wW5gKlD5GY33kyX42M8d5yW76ze9jWdvz/K2j5zc9M+/Zn8j//z2o5v++XzIZDQO/q9vEYpX1nvkG4+08Dc/cQhZBLoEIW8CgQAOhwPAoWnaiif7GypXnO+x9Y/AG4GXLg5wzVPn/3f/J216o/sSBEFYzRuPtPLRnzuGSa3cseQrGfZE6a63FnsZJev6ZIDOGjNH2p3YCjSBUdPAF0lyZzbM8U4XR9qdBdnvasKJNMOeKH0DHo62F66U82Cbg211Fo53urDolz8+u2otqLKE06ziNuvpbrBWTIALoKvGUuwl5N2xDhd9g56yCnBJUra8uJgBroWF5FCb20xnjRmHSUWRJSQpm2W6miPtTka9Uc6P+hmci6ABoUTuA1wAba7yLJ3eqj//8QNbCnABHGl3YdBt/hLq+9enefLGDADTwRgf+sEtfv3TZ3nLh5/jH757k397bpDhAmfGy7LEi3eV7tTHzfrC2TE+9fxQsZchCAIbL1f8J+BtwI8BQUmSGue/7tc0LappWkCSpB8Cfy1JUpRsueJjwM8C78nVogVBEABevKueT//SCX7hk6fwRqqnGbsqS2U3Oa+QUhkYnJsvRSrwDVVNg1PzF9D7mm1cHi+Npr8Xx3y4LSqecH6Pk+OdroXf//ZMmO56K8NzYRLzV84Ok45dDTYujgWwm1Q8kQQSlEyZZy7oFYmxHDTrLnXpMoxKypKEr8ifFS6zmvMhFTPBGP5oNivGoJOot5mYC8WpsejJaFBvM2DQySiyxKkhL4okcWOyMO9Nh9ocVZHVeL+f6m3jp3rbt7wdo6rQVWvh2ib/XrFkhl/797O0ukxcnwouuZnQN5h936233eI7/99j2As0iTGZzrC/xcFXL0wUZH+FVCrTngWh2m301sCvkp2o+ANgYtH/3rroMT8JnAL+nWwD+t8D/hD48BbXKgiC8ICedhf/+SuP0OI0FXspOaXOp7vbTQ/ei0hmtJw3Gq5EwViKbbXFy6i5PB7kaAlkdEF24mIwlsJh0qFXJOpshpzv41CrYyHAddet6RBmg47jnS6OdrgAib5BL9Fkmrlwtjyx0iqOe9pdZdWAfbNUpXwS9Guteva32DHrlbw3mV9Ni9NELJn7IRV3A1wA8ZTGiDdKJJlhMpDtY3lpPMCZYR99g14cJpXueguhAlyMKxLcmAwV9Tkvlt955a6cbetle7aWDRaKp7g2GVwxW3Y6GOfknaU3GgZn81d2n0hl+ItvXMvb9ospGEuKyYuCUAI2lMmladqa98Q1TZsE3rHpFQmCIGxQd72VL/7aI/z8J05xZaK8mh9D9kJgcYmILMH2eivpjMatmRCNDiMNNgNXxgMk5yMCxhXKwIR7LHql6MGG61Mh3BY9nhIIeiTTGv5oCoNOWnO6m9WgsK/ZwVw4wa11XpCv1F/FF0k+EPyqVAda7Jwdro7ftVwu5A62OLgw5mc2VPxjsMaqL3qWny+SLFg2W43VgDdS/Oe90GqtBtwWfbGXsSH/9twgh1od1NuNTAVivP1jJ/ncrzxCo8OYs32MeiOcHvQSTqQ41Org/Kg/Z9suFR/6wW1+cH2GnzrRTrPDSJvbTLvbjHG+tUY0nUGVJCKZDEPROAds1VnKKwj5VphmJYIgCHlWbzfy2Xc+xDs/dYZnb88VezlrOtrhIpnKYFRlfNEkmgZui55wPIVOkZdMo5r0ZydMNtqN2UyAVJo7ebzLWil2NdpyOsFsMyKJFDZj7i4ScuFQm5OLy0zCs+gV9jbbiSXTjPlinBzwIEnZ1+qZoZUDN06zys5620LpSzWLJNIk89HUqASdHfbR2+Vmyh9lwh9jZ6OtJCcs6tboTVUoXbUW9GWU/ZYL08E4XbUWBqrs8+qdj25DymHftR891MLHnx4kmseJhE/dnOXnPnGKf/ipw/z2Z88z6o3yzK1Z3nS0dUvbTaUzBGIp/u+zg3zuzOhCkPdQqyMXyy5JVyYCvO9Llxb+bVRl3vnodlLbbXxgaAqTIqOXJMyKzO9ta8Iky+y2GNlhKa1zBSE7JOEvn7jGi3fVs6PBikEnYytQWa+wNZuarphPYrqiIAhbEU+l+d3/vMBXzo8XeykrEtMR8+9u4OXWTKioWVROs4osSSWRyaVXpPkAl59Y8sFy16PtTs6sEBQ80GJfNjC2v8XOrenQsttbD4NOxm5SmQlWxuQ1m0EhGK++nix3sxV72p3MBOKMlkhPslqrviQyuO5a3LOuWmyvs5TMxNlCqLcZeOK3Hs15Jtd/nR/nf37lckGzk/c02fmv33gBGQ0ymoZBJ28oeJfOaLzpn59dctPurnqbgdlQHLeltI7RfGmtMXPr2MoDYB5yWPjSkR0FXJGwHl84O8p7Hj+PIkuoisS7XrqDX39Jd7GXVdXyMl1REASh1Bl0Ch9862F+4QVdxV7KikKx1JqTr4St8UWS9A16aHYYUYo4zjuRyhCMlcZQhAMtTk4NelcMSHkjyRVfl4FYaqFPHGQnsx3tcGE16FYNcJ3octNZY6bWqsdhUjnR5V74nkEnc6DFgdtcXmU9a7Ebqy9J/m4Qt3/Yx6gvWhLTRQEa7KWTGdHkMHJ6lYzISpXLjKZyMBdO8L4vX2LUm9uJha8/1Mz/ePXunG5zLVcnArzjk6c4+qffZt8ff5O9f/RNfusz/ev+TJOA+ApDcqaDcSwGHZ5wgs6ayi/Za2yzrfr95/1hfuApvUzYaveFs2NANmAbS2aqLiu1nIkglyAIFUeWJd73uj38/msKc0J4qNXBniY7xzqyzbVr1riDG02mcZhEunMhXBoPcLR95bunW7G3yUZvpxurQYfDpGI36mhzmaizGTje6eJ4ZzYIVCoZ0/H0vQwjq+HBQMx0ILZiqd3QXAQkONbp4nCbk7PDPs4MeYklMvR2ubEaFHoXBbAa7AasBh3jviizoTi1Vj3NTiPBWIp2t5ndjTZqrXpOD3nR0OjtctPb6aKrNnux47boaXeX34VPMJ5mZ+PqFzPV4Oywj2Md+TnuNiJdQlMN4qnMio2/K9lan4eVJp3R+NqFCV7yNz/gn75/K6fbjiQKP6XyqZuzBOMp0hmNaDLNl86N8+7/6F/Xz2pkPwtWEoylyGjZz55SCYzni7SOUuU/vjVeMucLQtb+lqVltT92uLlIKxE2qvpuNwqCUBUkSeKdj22nwW7kd/7zPKk8Xez8zit38hsvfTDFPBRPMeKJMOKJEE6kiCUzzAbjXJsK4gklCMSSVZGiX4lqrXo6ayxcHvcTTWbQySBLUvYiIJGm1qZfKEna12xnukRK8WaDcY51uJgOxpjwxzje6SKV1hicC9PiNOGNJgklVi4zS6Y1Tt9XanVu1Lfw330DHpqdRlpdZib9UWaD8YVm9BP+GFaDjjFf7IHt3pi619i+zW3iRJebSX+MYCxJR405G2BbpN5mQJElWpwmIol0yQ2bKGLiYEk5PeSl1qrHatDhsujpL3B/PJOqcGcmt1MMt8JmUPBUYRLAqLc0SlcLLZnW+OtvXmfcF+WPX78PvW7jeQXheIov9I9xbtjHD29M4y3QwIC1fP/6DO/4RB9/+5bDK5ZlJtMZfu3fz/KD6zNrbi+SzOTtHK1krCN4dT0c49G+a7zEbec3Oxqo0YvL9GIJx1NkNO2BKaMf/uFtXrSjrkirEjZC9OQSBKHiPXljhl/5f2eI5Hhkeo1Fz/d+58WbysqaC8V52Qd+WLApV9XsSLtzSw3oZQkWn3/3drnpG1hfk/X7J2eWCptRRzqj5fyYyKUOt4kMMBWIk1hU8rK/2Z7N0OtwcmMyyLZ6K3ol2ysmndFWbZJfCG6zikcc1wvsRh3d9VaS6QxTgTiBaJKdjTYuFGCyWpPDyIT/wcBqMRzrdD0QJK4GPe3Oggc4S83OBiu//fKdvGJvAxrZrL7lsmnviiXTfOXcOH/8lct5bTa/Vfua7fznrzyM+b5gTCKV4RPPDPD+b1xb97ZK6VjNtSanCWNPDVf16z8ZqFV1fK5nO7stpjyuTFhOOJ7iJz78HFOBGKF4asn5B8CXfv0FbKuzYNDJGHTZqZm3pkN89+oUbouegdkwvV1uXryrvhjLr3jr7cklglyCIFSF8yM+fuGTp3LWtLXWqueLv/YC2rZQUvW5M6P8zn+ez8l6hJUdbnNwbmT9F9S7GmwMeyJEk2m211nwhBPU24xcnwrS7jYTjqcK2vw311pdJsLxVMlkBaylxqJfeL572pz0L9PEeLFjnS7uzISJJtOk0hn2NtmZ8McKllFXbzOUTPZeKVEVCUmSkCXocFu4PhXM+z5L5W9RZzUQiCVX7E9UyQ62OgoS0CwHL+iu4fpkkEaHkf/zlsO015gXLpIBNE3j/d+4xneuTnGnTJr1/+WbDnCk3cXgXASDTmZvs52f/NfnuTW98SzKfc12Lo+XVmZuLhx4YSunLBu/3v7c4e280CXK3wvtU88N8r4vX17x+wdaHFyfDGI3qbz5WCvTgTjfvjJJIHavnLjOZuAXX9iFzajjFXsaqC+h/pDlTgS5BEEQ7jMwG+YLZ0cxqgrfujzJ+S2ceP/+a3bzzse2b3lN//Mrl/nks4Nb3o6wspUyrxRZorvOgi+SpLPWQjSZxqCTuT0dYludFQ24OOojMZ+KtafJVjGNR5scBsx6XVlMPdtWayEUT1FvM+CJJBhfpuTxfgdbHCiyxIQ/isWgY3guQk+Ha90ZeJvV6jLR6DBWZcbORu1vsXNpmYmdudTqNJXEpMcTXW5O5vm1V4oabAamSiDIWKrqbQZ62p3cngnzyr0NvKGnhXd+6kxZfcZI0tJKPL0ik0hvLph7qNWxpfOyUmTSK3hf3JB9ojboQ3s7eGND8XsbVotb00H+6onrfOvKVE63+7Ld9Xzs54+v+pg//OJFgrEU73/jASyrZHkKIsglCIKwqnRG45uXJ3n3f/RvuBfEjx1u5v+85TByDprvpDMax//8OwvTyYTc21FvRa+TH7hDXO1lNOVSPqWTwagqhOIbK9vRyXB/4syxDlfOJ9w1OYyk0hoNDgNXxgNUemuZXJDnL4zz/VSVQnCps8ZMIJbEEy6PzMlcOtzqXNK3T1hZk8NIrc3AxQoL8myESa8QLeES+s06fqyJp2o23pPNoVPof2Qf5nU0rRe2ZtIf4+G/+G7ehoP831/o5bGd93p5Tfij/MEXLhKOp6mzG/jahQkgW97/ir2N/OWbDqBTZLzhBM/enuPV+xuLOim8lKw3yCWOGkEQqpIiS/zIgSb+5WeO0uLcWM+Dn324MycBrrvr+OefPoJJVdZ+sLApt6ZDDHsiS6b/mfUKY1XaEPmudCk2C1tGKsOGA1x3f+5+g3NhjOr6T31sBh0W/crHptusJ5pM47KoXBoTAa71yhQgwAUQTqTorrMUYE8rq7MZqjLABWyq2Xo1shp0GHRyVQe4ABpXmcRYzoJTkbUftAx/Ks0nxmZzvBphOY+fHsnr9Ntf//ez/PfPnad/2Mv3r03z+n94mu9fn6Fv0LMQ4AIIxFJ8/uwoH3t6gJN35njo/d/l1z99ls+fGc3f4iqU+PQRBKGqvWxPA1979wt5aJt77QeT7T9xtCO36eMnttXw+DsfprNm8/29hJVpZEeV35gK0uLKBjQPtDhKoldPMZ0f9dHT5iz2MgpqNpSgs8bCoVbHst+vteppcZqotxk41ulCne8x011n4Xini71N9iXTE21GBV8kuWRCpLA++5rXl62/lRsAl8YCRJOZok68LLGCiYLprrcwGajMRuK5trPByuDc5gIhlaRSb/bFt5Cd9v25AKFU5WW3lRJN0/iPvuG87iMUT/H46VF+/EPP8o5Pnlpzuvr7v3GNt/7r8wt9HE8PPZiRfHrQw9USmy5dSkSQSxCEquc06/nUL57g/3vFzlXTgR/dWcdbj7fnZQ0HWh189d0vYn+LKNPOF18kyZg3ykMlUMJUCjIaDM1FOJbjoG2puzYZ5MKon33Ndmqtek50uWmcbwrrNOtpdhppsBs4PejFE05watDLrZkwpwa9XJkIcKzjXkC83m5cMWAmrM4TfjDIfKTdSZvbRG+XG6dZ5VCrg2gyzbbazWdjheIpdjcWr3lzOQ+p2Aq3xcCwRwRu1mOjLRMqkVEnc2Ui/8MoiiEYSdC4yTjV074QB565xFvO3SKyyV5nwurGfNGSv+npjy7NBv7yuTF+4sPP8bp/eJqf+dhJvn9tukgrK10iyCUIggCoisy7XraDT77jOLYVmj6a83yX0WrQ8WdvOLCZ/qTCOulkiUgiTXd9cUuYSoUnkshZ6W050YDL4wFmQwlODnjwRxP0drqxGnScGvRycZWG6NPBGEfanfR2uTk16GXSH+NEl5t6m4HDrU6Od2aDhqqy/ufVqMr0drnZVmdBVyV/jxqrgf2Lsrn2NNk4O+xjxBOlb8CDWa9wc34C491yrs3wR5NFLSN1mtTi7byYRNxmXZxmlWsiG4NYKoOjQo+V2WCCbWObD6JEMxpPekOMxqojYB5Op4lnChfQa3WZaXKU9vTD04Nezgx5uTTm5yvnx/m9z18Esn19n7o5y298+ix/+MWL3J4RWeV3icbzgiAI9/nGxQl+9d/PPvD1l++p56M/t/qElFx4/s4cnz01wrcuT5JIZ/jUL57gwz+8zQ+uz+R935Wut9PNrekQnkh1nCyuRgKOd7rpGxRZbbnmNKv4IkmOd7o4NehFkmBvk/2B4QcANRY9TQ4jVyayPb32N9uZCsYJxVOgQTRZmaUqJlWh2Wnk9kwYnSxxpMNJ38DKQwHaXCbCifSmhnQ0Ooz4IwmiycJnQvRW4TF293UvrK63082pQY+IB8470OLg4lhl9iXTyRLml7YwrWz+r/31Izs44ijdG3S3IjE6jAbULdyoOesP86P9N6nTq/xeVxM9djM7LfkLQPkjST785G0+8uSdisiodJpV/uwN+3ndweZiLyVvxHRFQRCELfjqhXHODHk5O+Slp93FiS43L9hRi91YuDuNiVSGUW+EbXVWAH5wfZq/fOK6qMHfJLtRx+5GO0hwdsizbGPyanG0w8VkIFb1zffz7VCrA02DUV+EdpcFl0VlLpTNngvEkox6oxxuc9K3qHy2p81BIq1h0euykUhY8v1K09vl4sZUCF9k7ebsbrNKNJXZ9AS2zhpzwXsfHWl3Ek9llg1wVqJmp5FEKrNmz5lqp8gSigSJMhkAUgg7G6wV3d/w2PFmnnZvPgD0+KHtPOouXun1SkZjCd5zbZinvCH+cFsTv9HRsOlt/entcf5p+F7pXY/NzOd7uvM2YfJ/fO4Cnz09kpdtF4tRlfmxQy28+kAj3XVW2tyV1e9XBLkEQRAqkKZpPHdnjo8/PcD3rk2LaW4bUI0ZFSs50GLnzkyYcAWOay9FNoNCV62VG1NBMppGg92IzajDG0ky4V++ObfTrNJVa2HSH6PBbkCvKATjSUY8UTKaxvY6CwZVYcofo8lpIpPRuDwRIJZMo5MlUhkNg04mVoTspY3YXmfh9kx43Y83qTIHWp2bCvydKFI/PlmCQ61O+kd8Bd93oR3rdHFaZHGtaX+znUtVEvhcjwabgakS74u0Vc0uE3d61zfkaDl/tL2ZX2uvz8laHp/08ANPkJe4bbym1oFVt7F2HFPxJN+c9XMqEOY7swG8883xmwwqnz/czTbz8pMy05qGIkkkMhn8qTS1qg5pvkfHk54gb7twm9R957X/fnAbL6vJfUzg7LCXN/3zsxU9HOQdL+jkj1+/r9jLyKn1BrmWbzwjCIIglCRJknhkey2PbK9l3Bfl/d+4xn+dHy/2skqWIkscaHGgKpIIcM072Org8niAtIiQFkwwnkbVycTm0wdH1pFB54sk6R/2YdTJC4Ewo06m2WlicC68pG/YiDfKkXYnLQ4jNVYDGU1j1BshntIwqRredWRJFctGX4fRZIah2fUHxRZLFKlxc0YD/SZ7ipUbRTSVXJUiS/S0OUVT/vs0OUwVH+Ta6mfuv4xM87IaOzvNhoXA0EY95Qny2UkPX5z2ktbgC1NeVEmiwaDjgNXMS2ts/Exz7arb+OXLg3xl2rfka3pJYqfFiCpJhNIP3jxLaxrfng3w53fGMcgy18MxkprGYZsZWQKzLPO8P/RAgAvgUjCalyDXZ/qGKzrABfD5M6O8+6U7cFn0xV5KwYkglyAIQplqdpr4wFsO4YskeOrmbLGXU3JOdLm5ORXkXBVkT6yXw6Tj5lRIBLiKYMwXxbgo0LVeix8fS2W4s0KA5+ywD4BxXxSLQWUmlL1gtBl1uM0q3Q020ukMoXgKo6pwZSJAssClUqoiUWczkM5ozIUS7Gywcn2ycBPVLoz6OdLuXHiuCunciJfdjTZ80SSTK2TvVYKIyA5d1eE2J6eHKjvTTWOh0nrddLrKD4627K1haAs/P5VI8VjfNX6muQZ/Kk2dquMPtjdhUdaXhTUdT/KW87cf6AGX1DRGY0lGY348yRRvaXRjkJcPyn98dOaBANdhm5m/3NXKAasJeZngm6ZpfGJslvfeHHvge+eCawd7/2vGx292PlgCeTsS41IoioTEGX8YsyLzW50NK679rktjfp68OcNXKvwGsSzBOx/bjkmf36FZpUqUKwqCIJS5YCzJW//lea6IXl0LDrY6uDBamQ1s16LKEofancyFEtTZDIRiScLxFLFkhmanqSpKpkpVMXpCreRAi33VKZL5cKzDtXCBb1ZlIpsspdzdaJsv/dz4zxaz749Vr1DvMHJnA+WZ5aQaSs62otFuZDYUq+h+kEcebeOWXcZ50cfwkH/dAa+7wzoq1bGjjTxdMx98yWG2Y4dRz+d6umkzrp6pk8xovOncLfr8a7/3bDcZ+Ke9HaiyxPlAhGA6TSiVYbvZwO9eHyG4QkasRZF5gdPKr7bX85DDgiRJxNIZfuvaMF+6LzC2EY+6rDx+uPuBr/94/02e8937fZoNKk+f2LNq/y5N0/jF/3ua712bXvExleINh5v54E/2FHsZOSfKFQVBEKqEzajyiXcc56f+9fkVszyqTUbTcJh0+KOpYi9luVcfPQAAqJ1JREFUU9k7W3Gkw7XQd2jgvteDuAAtrs2WmOSDL5KkzmZgJgeviWOdLtIZjRFPhG21FlIZDUmS8ITjKLLM0FyYZFojs+jG6kYCXKossa/FgUEno2nZ4/tox+Ym+NlNhRsecr9Gp5Fb05X7Hq1WSUnmZk0GYhXdG3Lnnlr6zBlSyQyOQ252H6ohiUbqopehAd+KP+cyqyVdUp0LF89P0zifUWN/qIEbam6STIZiCd5w9iYvrbFzwmFBlSV0koRDp3ApGMWfSjMWT9Bk0K8rwAVwOxrn1WdubHgt4XSGb80F+NZcgF0WIy90Wnli1s9YfGt/WxmJJ2b8dFsMdJuNXAtH+dq0n/PBpWX/7+lsXLNB/RfOjlV8gOtQq4OffqiDHz1UuRMW10MEuQRBECpAg93IN3/7UR4/PcLff/cmU4HqDmZcGgsUrcn0Yo12Ay0uE2eGfAXb58kBDz1t1dHkulzIEhxscXJu1FfspSyYCcZpdBiZ2cI2JCk70OHskJfkfFrVclP1WpxGWlxmLm7i9+9pczLijTxQduw2q/R2urk45ieaXLtE7nCbE4NO5sKonw63maEi9ESqsRiQGyRc5mzWxdlhb8FLRu+nKhKqku31ZjEo6JVsD7jR+b5xjQ7jQnml3ahjV6ONYCzFtUVlpkZVxqLX0eI04YskCcWLf3OhVPWPeNnVYOP6VOHKdPNN1cvsO9bEWI1KKpENaNyM33sfOHzADQM+TCYdqioTCCx9j9hRb6vYwN9d8VSG+PzNLt/3Rjn6aCtnTLk59sfiST41Psenxudysr1cuB6OcT2cm7LsH3iD/MAbxCRL/NeRHbz+7E2iy6TxLr6FlEpnUGTpgRtL6/msKHf+aJKuWgtGtTrLFO8S5YqCIAgVJhRP8QdfuFjx/QbWoioSnTUWdIrE1YnsBYVekQo6sr2nzYmqkzc1CW4rjDoZg6rgj1b23fFycbDFwYWx0iqf7aq1MDgX3lLj3cUBkHw53OYkk9GYDMSYXibrrMlhoMlhQpElZkNxBmYfDF41O4yM+2PUWvW0uc30F6EnF8C+ZjuXF03U291oWxIsKrQj7U4ujfmxGVXmwvcCD7IExzrcBGJJrk0G2d9iJ53RFt5HAeqsBlpdRlIZjWuTQRRJIpbKcLxzcxl21cRhUgnGkhUzHbmuzszIEdeK3zfJEvsVPUOkqZUV1NsBJElibiqMs8aEvc3KTDpN7USM24P+iv/canGbGD3mJl46ib1lo06vYyaxfBD9F2td7AxqfP3iBP3DPlwWFZtRRSdL/PRDHbyou5bf/Ew/56uglYVeJ3PmvS/HZixe5nK+rLdcUQS5BEEQKpCmafzdd2/ywe/cLPZSis5m0LG7yYaExHQwVrCeSNvrLNyZDdNdZ+XmdOF7AO1tsos+bSWiFC/8F/fH2qxCBmlsBoU2t2XV13Sry0Sj3YgiS1ydCLCjwcbATBhP5MHsslKwq8HKiDdalGbtB1scjHojePJQJtbhNjPqi4oBF6vorrdUTOnqwd4m+ly5KVVtT0lMf3c0J9sqRaoiUf9YC7dzVK4o3FOXBvOpOaYqeLDHRjz+zofp7XIXexk5t94glyieFwRBqECSJPFbL9/J3/9UT9WMrl9JMJ7i9JCXQCxJOJHmoS4XR9qdHO900ew0osoSZlXGbdEjS9kyqCaHkQ63GYlsxovDtHJ1f3e9haMdTg61OtjXbGd7nYXuOgvRRBpNg5vTIXY32mhzmQr2O9uMOhHgKhEnutwlF+ACclJSZijge4tZr8NqWL38YtQb5fSQl5MDHhocRq5NBEo2wAVwfSqEy6xysMWB1VC4DiJui55BTzgvAS6AIU+EAy2OvGy7Uigl1J9vq1RL7rJFhpUMrW5zzrZXSjrqLOx6RAS48mVGAfOR2mIvo2T80r+d5kIJtUgoNNGTSxAEoYL96KFm2lwm3vmpM8uW+lQLTWMh46TdbebsonIlq0GHWa8wHYxjN+qIJjMLF3+KLDEwG6bVZWJ3o51xXxS9TiYUS9HiMjEwG2ZgNrJmxsK1ySCHW52MeKOrPi5XookUuxpsSBJFLYeqdrVWPadLtNfMtckgh1odzIYSjPk297qMF3CgQqPTSN8GgoU3izRBcaPGfDHGfNnMA6dZZWeDjcHZcN7erw06GYdJfWAoRa7p5HtBHEnKlujZDLr5mwkSE/4o7W4LZ4e9pKow48tpXn0aXrnQ62U0g4JRyhDLwd/RhkQgWrqB6a0IHXRxXVd9r/VCmtRpqIpU9F6HpcAfTXJ7JsTBVmexl1IUIsglCIJQ4XraXfzXu17IL3/qDOdFM3Ji9zUeDcVTC1ktgdjS7Ja7watRb3ShEbMiS2Q0bcOTCnWKhCLBcudenTVmVJ2cswvzVAauTwXp7Vy5T4qQf1aDbtlG7KXi/Kif7nrLqo+xGXUk0xliy0xDvDYZ5GiHizNbLHtcjzFvlA63CYtBxWrQkdE0BmbDS3pJlTtfJEnfgIcGmwG3RY8nh7+bw6RiN+pwW/WcHylMT5pGu5FGh5F0JsOV8QC+SHJJoH8yEKe73kIgmqq6mzCZEmsXs1mJRIb4ZJhYQ26yudxpiakSmIqcDw1JGBNX3nm1ezhOvwhwAfC7r9rFj/e0FnsZRSMONUEQhCrQYDfy2V9+iD/4wkW+0D9W7OXkTW+XG284QTSZJqNp6GSZVCaD1aBjOhin020huMVx1pvtM3N6yMuuRhtj3gih+NJAW53NkJ/+NRVUElOO7KbSb/p6azqMw6Qu2+y5p83J+VEfFoOOPU12hubCeMJLH3dmyIskQa3VQLs7f5NEZ0MJZgG4FyTZ1WCrqCDXXVPBOHaTjt4uN3OhOLdnVs66UmQJTdPQKTKqLGHSK7S7zciyRDKVWShXN6sKz9yeK1g26ekhL7IEk4HV++Pcmg7T0+aouiDX9BrPS7lQFImRVhMkcxOYsmZgKidbKi3HDjTwdI6mKQor8/sq47jaqtcfauZXH9te7GUUlQhyCYIgVAmjqvCBtx7mlfsa+V//dZmJCmvOadErTPijjHgevIjTzWdfnStyf4Lrk8ElTchtRh07G2wL/z7W4UKSYHguQovLxJg3uuGMscXiy4zL1smwt9nBhfkJQ931Vib90QcCb8LWRYvQUHyjWpzGhXK5+4UTKTIaBGMp+od9tLtN+CIPToXTNJgJxpkJxulpc9JfgIzRnQ1Wrk9VbiluIJqib8DD7kYb9TYD08E4Fr1COJFmZ4OVRCqDy6xHkuD8SPZvk0xlmAsllpRjL1boZufrjdv3j/gfmDxZ6RwmPYsDtuVKViRC6dyVLZtTlRkIKrVBb5XoUEziepmUqeebRa8gy9V9k1NMVxQEQahC4XiKD37nBh9/ZrCsJ2A1ObKT1IKxJK0uc1lcJB1qcyDPZ1j1r3AxajfqCMRSyBIc63QTjqeYCcYJRJPEUpmFske3WaXFZSKSSFFrNQJwciDbA6qnzUlG05aMyzarMvtbnfQNeGh1mUikMvijSVpdJoY9EdHHIocMOplEKkOpP6M2o442l4krE0sDRm6Lnkg8Rey+vls9bU6iyTQ3p0NL3ju21VnwhBNY9LpN9/jaqP0tdiZ8sYrM5lpsV4MVs0HHVCBGMJokFE9v+nXV2+Wmb6D0+sQpEtnssyp5D9LJEjsbbGU/IGTH7houdhhztj2bBs39PoZWyV4sR9sarVw5JIYx5MuJsMTFZ0bXHVivZLIEH/rpo7x6f2Oxl5IX652uKDK5BEEQqpDFoOMPX7uXH+9p5W++dZ3vXZsu9pI2rM1tYtQb5e69Gn+0PC4WrowH1ryQu9sbLKPxwAWpzaDDaVFpsBk5P+rj4liA3i73QnDrRJeb2zMhYqk0d2bCdNdb8UUS2Iw6pgLxhe2NLipbuj0TpsVlYtIXxWnWV3zQoBAsBoVEARuzb1YwliJyX8aZLEF3nZW+ZZrm383S2tVgW8ikOtDi4OKYn0a7AYMqY9TJDwTH8uHSWIB6myHv+ym2XGYnlNK9/Z52Z7bfWyINksSt6erJwkhltIqoJo9GkkDuglxBCeo67BUX5CqxnJKKc8GsYdHrcjI1uNypiswr9jYUexlFJ4JcgiAIVWxvs52P//xxbk0H+djTA3z+7FhZXJgDjHiiHGxxcGGsME2Uc2WrmQrBeIpgPLWkLNMTulfSeHq+Cfjdhud3LxzXaoA+5o3iMKk02I1Lgly9XW7uzIRKuoF6sR1qc2BQ5GwEQZNIZjIkUukH+leVqmFPhOOdLtIZjVgyQzyVXjbAtZjTnO03ZlRlxucztyYD/z979x0e2Z4Wdv57zqmqUzkpZ6lzzuHmyQmGGRjDEGYIAyxLxusFDOu112a9612bYJtlsDFrwIAJNniZGcAww+S5oXPO3cpZKlXOVWf/ULduq1tZVXVOSe/nee5zW1LpnF+Vqo70e+sNOaB2vZWOdQW5IsM0VuS2q9htKr0NHsZjWYoWyZRq9uk8mk4SyxTZ0eih0eOgO+zG77ThsKnMJPP4nTZKhsHt8a1RlmpTFXSbSupxUNmr1/82zGZTsSlQqSrDVyJlLlwYr8zBLCSXL3Ewp3BTt8brb6sJlZX5Xgzbq7Xfkjy6jdlkjmZ/5YLP9UjKFYUQQiyYTuT41t/4Rs3KjTbr6f5W25mqQINXZ7pCzZtPdAeJZwvkiwZDkfRCMKE77KI14AIDbo3FSNZBz6lq2tHoQVFYsTH4VnW2L0yhVCaVK5rSB8VpU2n2OxmKpGt+7nqgKfOTdR/NJC0XbFUVONju5/ro6tm3Lvt8VqDFtiurOtMXBuYHMzR4HPQ1ehiKpBmPZWnx6fQ0epbtIVlvenoD6EcauJbb3O8fZxlaz88ysUWbh9s1hb0vdXDBXWdPZovzlmHv/RQ3B6JmL8VUp3pCvLaniQ8faWNHk9fs5VSNlCsKIYRYtyafzv/2LQf4kd+/aPZS1qR/ZvsFF5ZSNuYzIyoV5Lo9nqDJpy8EEK4MR9nd7GUmmWMoMp/hc6ontJA1tlUc6wri0BRQlEVlXXcmEuRLZfY0e7k+GqNszAdYLwzMWb7nVrU8tEB232pv1O5p8RJyO8gXy2QKJe5MbI2MoNV0h12oimLZ1+eBNQa4ADKFMgfa/HXVu6rV72R0Ls1oNEtfo4eRSHrR9MjJRG5TA0WsZnAgRlfZgP2+TR3nYE7h5hYNcMF8FrczUwK3avZStozOkoLzUoSb8mYHv/TRQxxolwShJyTIJYQQYpH3H2zlXXub+NLdabOXsqpYpoBd2z7NilcSqWAfrUyh9FyGzP1n+uVcGJzjdG9ovkIPuDuZIJ4p0uLTaQ040e0a2UIJp10jVyiRypcYj2YWSnXMEHTbSWaLFJfpTqvb1IXeZk9TFdBUhWsjMfyu+YmYV4aj2zbABfPlrz1hF4MmZaJki2WmEznO9oW5M5FgZ5MHm6YCBulcCbumLpry6Lar7GzybIusu6FIhl3NtXsn/2C7H5dDo386tWI/v32tPjy6DZ9zfduPW+NxOoIuGr2ORYM0rKrJ51gI4m2XN2ICje5NH8OVrY9WCZtx9fIEB5o8zB4OMqlu598gldGZNrgiAS6Aml7z64EEuYQQQjznH3/4AOcHvmGZJp6qAu/e18wXbr/dIP9kT4i5dJ5CsczwXP2XfGxWZ8jFeKy274I/XSra4HFwsjvEnYn4shvRZp/OnhbfouDDRh3vDlIolrmxzETNBo+Dnc1eymWDbKHEw+kk0XRhfrPsc5DNlxcapz9RKC29ySobUH4cSI1lilIi+1iz32lakAvmA11v9UfoCDq5tMyk0ifShTJTiRxn+sI8mEpWNChsFU/K4Aql8rKTWytpd7OXbLG0aKrtyZ4QANlCiZG5DG0BJ36XnTsT8YVMumNd658yNxrNMBrNcLZvftqsTVMt2Y9tZ5NnWzXQD4V0InM5HM0uMDbxmjIMYiNb/3ErlAweTSQJHpJJi5ulGAaTt+R38ROxTIGmbTCIZa2kJ5cQQoglfe3+NJ/6nfPLZr1Uk8OmUioblMoG+9v8/Og7dvCOPU185uoY0XSB3kYPHzrUymQ8yzv+1Zcpydxo2oNOxuqk1GO+wb2Oy6FxdXhjmRkeh4ZuU3HYVHxO+0JG3/BcmkPtAR5NJ4mkV+5FdLo3RDRdIOxxkCuWmE3miaTypmab1ZMjnQGu1UFmzbPsqsKBdr8ls4JsKnSHPTzaQAbQmb7wc9NYq6Uz5CKWzpPILf9a8TltJLLPv1Gyq9m76UCQz2ljb4uPG2MxsgVrZADtbvYSzxS2VCnicnw+Bzte6+BiKY9f05grljaV2eozoPC3oxVbn5V5nTZir7VQ2ALTNc3gNAz2Z1UGdQicn2W8TnrIVlNPg5sv/+w7UbbCyNZVSE8uIYQQm/Lq7iZ+85Mn+cn/fIlcDSYuHurwk8wWGZhN879+836+7XgH2UJ50TtT3/di76LvyeRLEuB6zCpT09YilikQy8wHoE71hkhkCgvljWNzmTU1tE/lSxzsCHCuP/J4qt88n9O25l5Ez2ZkSenr+pTr9LVXKBtcHYnRFnBWNfvRpsKJnjClsoGqgGHA1eEohbKBQ1PIP/Vc020KhzuCFEplro7ENhRArFV22s4mDxOx7KrB4KUCXDBfFrxZiWyRC4NzluoNmMhujwBXS6sH7XQzb+Xnn2+R4ubeFNAMg4P9Oa5UYG31oOtMKzNKfV47TWcYHOvPceX+LLpNZWKZ7Ovt5qffvXtbBLjWQ4JcQgghlvW+Ay187qde4dNffsh/u1z5d1lddo1mv057wMUf/PBZNFVhNpmjwTsf2PKtMgG5K+xeNltgu5lK5DjSEeDaqPWyU1Zy4ZlAU8BlZ1+re01NwpfKRt/Mc2G7B7gOtvvJF8uggALcW2Zq4t5WHz7dxtWRaE3XV0l7W7wbngrZ5NWZTq4czDjSEeDWePy5zKrWgJOOgIuxWIaZRI6dzV7uTiTw6IuDs9dGYuxp8RJNFxY1LV9OW8BZkzK5g+1+bo3FN5W1U8mtmJUCXS1+56KA+1bU0uohfrKBuXzlAqovTZc5f3+2YsezspaAk9vOMpV9FWwtimHQXVIZtD1/ldlVUrny+LlSizdf64XEt54nQS4hhBAr2t3i49e+8xgfPNTKz/7pVRKb7NNlUxXef7CF9x9o5T37m/Hq87+KnrwL9STAtRZOu8avf/dxfvqPLhOXQBdOe/1PbYplCnh1G91hFyGPA01RiKTyZItlJp7Jurk5Fq/bkjkrcTk0mryORb2VvA4N5XH20ROdIRc+p43b4/U9pdCuKiy1ydzV7GUiliG5QgnekY4Atyfi7G72Uiobz5UVKsDeVi+5YnnJUu+JWJaJWJaAy87x7iDnBubY1+pbMqh7bzLJjkbPmoJcDR7HhrLS7JrCsa4g96fme9YtJeCys7vFS75Q3lQQ/XCHH5uqrun+rMeD6SQOmzofoDWRowIZalbT2Oim+0gT2UgGzaZSbHMzmN/agbxqafLpTJ4Nk5WIxIrOpBSGr0zxyoEGvh5e/Jp6oJXp9DmYSWy9noqb8e+/8ohvPdaBqspz6wkJcgkhhFiTDxxsZf9P+/nd1wf4k/NDy5aq9DS4OdEd4jtOdnK4M8A3HszwaCaFYcw3C+9t8NAedFVsXe/c28z7DrTyZ5dGKnbMerVVEpFGoxkavQ5G5uazWQZm06jK/Cb5ydQygHS+xO3Hk9dGpS/Hhu1p9j7XnyqZL3GmL8zFwTlcdo0DbT4uDc0xYn7CzKYVygZtASdjscxC5t/ZvjBv9UewawonuoOUHpc0Ps1lV5lN5ymUDO5PJWkNODnTF0YBSobBSCSN12nnzsTqGVWxTIFzj7MYV8pafDSTIuxxrFqK6NY39if9ofYA5wfmCHvsnO0Lc2sstqjPVpNPx++0PZdxuV5ht33Ra7eSYukCu5q9z02ArSWvbuOiBbLJKqmpyY3vxVZez+WgxT7/ySoEuIrp7fEGVU9vkGEJcK2os6Rw560xcsUyzeNpCC+eGNhUVigUt8gfOhV0qjckAa5nSJBLCCHEmnU3uPkn33KAH3ltB7/2+XvcGo8zHsuSyhX5pY8exGnX+ObDbYt+2X7wUFtV12QYBl+6O7X6DbcBbQv9jTOTnN/UJ7PzG+6yAZPxHA0eB7NPbfgNY2tmUNTCfEAnxPmBpZuVn+uP0BN2kSmUFwIyW8GZ3hBfvjfNoQ4/U/EcbQEnbz0uKyyUjIVJjTubPDjtKjfH5oNQBzsCi4I9T7KyFqlCuVqhWF6yqbzbrnKoM0i5bDCX2th57dr8ayeSKvBWf4RTPSGuj0bJFQ16G9zEM0UeTq+/Cf6zeho8RNLRTR9nKQYQzyw/ZEJRwOOwVXVacDJXpLfBzcBsumrnqDXHiy3cylU/a2t2dpu8QeHSzF6B5fVFSpx/nJE5OZfGX/ZydLaEoSlcDansGMhwdYXX+nb10+/ZbfYSLEeCXEIIIdatNeDk//72IwsfG4ZhWtPLTKGER9eIbH4fVv+22LvEHUEXI09laE0lcjR6HYtKFLvCbvofl4y57Co9De41ZdJsd3tavKRzpYXgznIGI1trA+qyqwtlfbpNw6Yqy05ZfDidQlHm+1CVygZXh6M1XOnbErkiFwYinO4N0T+TovnxMI5MobQQ+Aq47M9lOq7meHeQS0OLg5cXBufoCrsolgwavXrFgjbpKk8snUzklgwEnuoNcWs0Rjpf5Hh3EID7k8mqBLyafc4tE+Tas7+Ba7nalIR53NtkO5ovIVvvlRlPNZKfSxWwf3GM849T1A/1hbg5GDVpZdYVdNtp8a/SwHYbkleaEEKITTNzqstMIr9sL5ntZ2ul8Qdc9ufKEGeSeWaSec70hZlJ5Gj26wtBru6whzsTCeyawu5mHx5dI18skyuWCbjsC8HYsmHwcDpVs2l0VhF029nR6KFYNrZlH7OOoJOyAcNz88+ptZSXGQbcm0xgGCzZY6tWysbb00CfZDk+LZYpcH20wJneMOeWycx71u2xOM0+nbFnstGGIxlcdo2Q28Hp3tBzU0jXK+xx8HC6+oHn4lMbZKdd5UCbn7sTCdKF+c9ffpyht7vZi/F4XeWygaYqJLIFPLpt3ffVpirzr6smL/cn67tX3dO8bR6guoFJgD0FhTvD2+NaZEiZ3Yo0wyA6tThI/PQwmBv9WyebuJJOdIfMXoIlKUtNJjKToih+IBaLxfD7/WYvRwghhMWVywafuTrGb331EbfGq9PzpV40+/SKN3U2y9m+MOcHIqwWVwi77fQ1eplKZhleIuvI45gvEXm2h5xNVdjX5uNGlfoEWYmqwMmezQcr6o1dVSg89QQ62R3i4tDWfwzO9IW5NBhhtT7srX6deLa4YpZVg8dBb6NnU/2m1hN42wyHprCnxcftiQSdQReJbJFIeu2BbE0Bn8u+rjdNanXfasnrtaO+s52pQnV7ZQXK4Pja5LaZjnz6eCtfa5aSxeV0lRQiXxylZOKbCfWm1e/kcz/9Co3rGNhU7+LxOIFAACBgGMayf8BJJpcQQoi6pqoK33q8g1d3N/Lqv/xS1ctirMyj22ALBLnOPG4CvhaRdIHICoGL5QYkFB9ncGxVIbed3c2+hY+32kZ8NU8ykM72hcmXymTyJa6MRM1eVk2c64/Q1+imyadzbpnsB5sKYY/OxCo9xGZTeZx2jYPtfu6Mxzc03KJWib75ksHdyQTHOgNcfJy1tR6NXp10YX2/P8oWSxbYrFDIifFyCxNVDnABNJUURrZJgAtgNGRjq2VbV8qBvEr0/KQEuNbh24538H//vSPSk3QZEuQSQgixJZQNONoZ5I1Hs2YvxRRtAZ3pOg9whT12XHbtub461TrXrS2YxdXX6KbRq3NzNLbtAltPHO8KEnvcnLh/JrVlshvXo38mTdMK7+4faA+suWR1NJphNJrhSEeA/tnUmjNvwm4Hu1u8aw5YV0KhZDCV3NjPuyvsXlemn8ehEc9unVL5hkYXxovNjOerG3hyl+HA/TQ3t9g0ypWEPQ7GbRLAWc4tR5lTx5uJfE2mZK/Fa3ua+JXvOCoTFVcgoT8hhBBbQpNP5z98/6mt1nt9zWYS+bp/FzTkdjAaza5+wwqYSxdo8Dpqcq5aONTuZ2eTh/6ZNOcH5hb6EG03mgIPppPcm5zvAbUdA1wAboe20INqKXZ1/VuAa6Mx9rX6VrzN03uuzrCrpgGuJ5YqW16LC4Nz9ITdePW15QDsaPIuPM+2gp6TLYxVOcAF8wGuGwNzbLEkuGV5nTYyLzWR2aZ/m6zVyPapuNu0nU0eCXCtQoJcQgghtozxaIbt+mu/UDY43Bkwexkb5rCpNNSwr8Tp3nDdZ77BfCnY6d4QN8fiPJyWEaMlA/auEojZDg60+Rf1I3vWxaE5zvSG133cOxMJzvSFFyY8Pq096GRPiw+7qnC2L1yXww0GZtOEPXbCHjsw/1xa6r7ubvYys8GMMau6a6t+YLy1pHBrG2VwAYReamVOdtwrOphTUN+cMnsZdeOde5vNXoLlyUtOCCHElvH1BzOrNirfykbm6nd8/bHOQE3KFJ/IF8sb6i9kJS1+nZ1NHs4PzEmnl6eMRTOc7t3eE6fypTK7mj0r3ia9gb5LiWyRc/0RFGW+RBrmswrO9oUZi2a5M5HgSGeQC3UcyBiKZHBoKse7gjyaTjKXznOy5+3n05m+MA+mkozHapN1Wgs+n4NEqfpBrl2R4rb6HX1sdwP37dvoDm+Qs2wQWWJqrFiaJHGtTnpyCSGE2DI8ju39ay1Th033O0IuOoIubo7WLuvjWFeQyfjGSpqs4khngEdTSSZXaRy+HY1Fs7gdGk67Snablm1eG4nhcmjsavLwYJkMP7d949fLyXiORq+Dl3Y28PrD2UVZhFthguVEPLeoKf/9qQS7mr2UymUuDUa2XFC5b2+YcxWuH9QN6Cwq5FQoA76SwvDD7dMzs8Hr4Hqv0+xl1AVnZOv0tqu29oCTV3Y1mr0My9veuwEhhBBbStMSZSXbSTpfxK4pFOooRanJq9c0gwvmJ6KNx+o3OLSjycOd8Tj5Ovo519qDqRR9jR76Z7ZvCWcmXyLsccCyZaybe/7MJPPMJGc53hXk8nB0U8eyuqKi4DjdREOsSKAU4tbFcfL5rRFAtTtU4u0uyG0uk8ZnwP40OGIFIlNpBqaSjD5+iikKlFx2YuntE8xoCbsZlZqpVTkNg2u3p81eRt040O5H2a7NZ9dBglxCCCG2jLM7wnzHyU7+y8XtOaGnwaszUWclNA6ttruA3c3euuwV9MTuZi/TyZwEuNagyatv6yAXsOJmKJbZeJPxsMdOX6OXi4NzDM+l8ekaiVz9ZZKu1b5XO3i9mIfHFaC2d7dxtmgjM5Ph1pX67CXk9dppafdR3hfkdm5zQX9PGfY9THPt0dJZfIbBtgpwAdi6vWw2kLwd7M2p3JXfZ2vS6HXwv3/rIbOXURckyCWEEGLLcDts/NOPHNyWQS6HpuDQ1Lrrd5LM1Xbjc38qyameENF0ftkyLqs60xfm4kCk7nuJ1UqqBpPirG4ynkXh+a12q1/HYdtYgFlTFYplg7Jh4LCpeBw2ZrZwPx2P1851rQRPxfCKBnxDK0KLndMf3sHQ10eJRa2fHWoAR0+3MTeZwnGsgZu5PGwywBUsg/+tWa7H6+sNlmrTsyXwSCrXco5lFcpAQRpMrcrj0Pj7793DJ1/oweXQzF5OXZAglxBCiC3F7dD4sx97kR/4nfMksttnk3u4M8jFOmz2fGs8wfHuIJeHojU754XBOWyqQm+Dmxa/k+lEjkcWz/g51RuqeVlnvbs/lTR7CaYrGQY2VVk0adGuKYDC9Q32wSuVDTwOjctDUQ62+7g5lqjQaq3nxGtdDAY0ZvPLB+PPF3I4XmjiiN1B/mGc/vsRChbrBdfc7KHrcCMDboVz+QKEfZsuT3xiXwquSIDrOUahjMx4W1pTCcbPTRLLFOhr9pq9HEvTVIXf+8EznNrANNztTIJcQgghthRFUdjZ5CXgsm+bIFeDx0EiW7+lIPYalywCFMsGA7NpBmbT2DWFM31hywaRzvaFecuia7OqVr++qHH4dtXk1RmOLB6yEHI78DptEN/YMRUFVGX+NbuVA1xHTrfxhquMsYbeW3nD4EI+B106LzW2c+mr5mYT2x0qoZCLjj0h8Nm5bBQYKhehQgl3imFwPKviiuS5dXf7NJNfD+mbtAzDoOdBhhuZ+b9Z+uXNiBV97HiHBLg2QIJcQgghtpw3H80yMlff0/PWo7fRU5dZXE8YhmFqw/xCyeD6SAyHpliu19WBNr8EuNap2afjddpBglzcn0xytm9+gzQylyGRK1AqGzzYxMayt8FN/0y6Uku0FE1TaO/w4Q3qzLY5MTaQ7fSGy+Cld3dz8YtDVVjhygzg5Af7uKIUGSqXGcKAUoVLSQ2Dl6dKXLgyVtnjbjGGXbK4ntVSUui8n+LGYNTspdSNH351h9lLqEvy6hNCCLHlbKeggG5TGLB4qd1qbozFCbodHOsKmraG1oATr2699/4MaVy8LnZVwe3QNhXE2UoSuSJv9UcYiqTZ3eylM+hiNrW5oEeT11mh1VnPnoONPNzv43Kbg4cbLOczgDfsJXbsqX32xbFv7uN1I0+6XJ1yyQN5lRcH81y4MlmV428lhgp2uXwvUAyDPZEiNyXAtWbtASfdYbfZy6hLEuQSQgixpeSLZbpC2+ePAlVR6j4MksmXmE7kKJTM62MTTeeJWGz6V5NPZ3h2a2bMVNKhdv/jPlNwsCPAgDxmzwm4bHz53jS3xjdeXqjbVA53+Dk3sHXfRHA3uqjEVagMjOzy0NziqcDR1mbX3jBvFas3AKClpDD9xjiX785U7RxbycW3xnhheutOHF2vvQWV85cmzF5GXRmLZfmbm/KYbYQEuYQQQmwpc+k8v/b5e2Yvo2Z6Gz2kcvXfe8yuKQyamJHWFnBxujfE6d5Q1c+lKLCv1YfTruJyaJzoDnK2L4zfuTiTrDPkIpmXTdJKehvc3BiL0+TT2dPi5cpw1OwlWU5H0MXDCkwSzRXLOGwaum3r9hpKTFQuQBovlfGcbUGpwW6rd0eQ5B5/Vc+xcyS7bfpcVsr06NbtWbdeTmvNYrA8TVX4gZd6+abDbWYvpS5JkEsIIcSW8kufvUViCwR91ur2eIKjnUHqvcdtZ8hF2TAvJ81hU8gUSgzPZdjIQ9nqd3K8O8iBNt+qtz3TG+bORIKgy87uJi+XhqK81R8hni3id9k42hlgX6u3phMn65Xt8dCCsWiWe5NSovgsVZkPclWq393FwTkOdwYBtmSwa/DhHI4KXkxv53Ls/PAOgkG9Ysd81rEXOxjY62VghQmQm2bitbmepSUouOCewyDgtpu9jLrR6nfyTz9yEIdNwjUbYb3mE0IIIcQmbMc/os4NRNjT4q3rTX6+aNDg1UmbNDBgKJIh8rhX0Z4WLx6HxuXh2JK37Qi6aA04URW4OhLDp9tI5gpcHsoCcLI7iKIoqAqgKDyYShBJvb0BnYjN324inntuAmA8U+TqyNLnFc8LbcPX+3oc7w5VvLzw1lic411BBiMp+hqd3JnYOtkqpVIZXa3sAIobuRxdr7bRdztG/4PKDQgxgJPv6+F1tQjl6gahXp0uc/6OlCmul8uCfR7NsrOgEFG3XmC8Wr77TJfZS6hr8soTQgixpZzqCfGf36r9VCuz+Zx2NFWhVOXNTrU0eBxcGzUvuBN5qhn3k2Dhmd4Q5wae35S2+PWFaZa6TSGRLSzaFF98JgMr7LZzujeEoijkCiUJYlVQ0WLTMK2kxa9zdbjyU1fT+RKXH5eFJrJF+hrdNPucW2Lgx4ETrZyrQm/A4XyBgxXe4B8+0Tof4KqyxjKcvyx9gdart9lD+VAI6r5rZmX4p3LcT1avZ9xW8sKOMD/xrl1mL6OuSf6bEEKILeXsjobnehttBxcH5+gIusxexoY5HZrZS3jOhcE59i9Rfvh0HDFXNFbN+oikC5wfmONcf0QCXBUWzcimaTmT8RxBt4MzfWEcWnUyKAolg/6ZNNli/feOU1SYaq1OWeEOh4OH9yobBMx31mbASkNRtovrtbvdz4NjAe7JeEVgfsrk4HDc7GXUjblUgZtj8nhthly1hBBCbClNXp0PHGw1exmmaPJVr+9LtaVyRaq0D9+wsjGfIfesZxMyjnYF2NPipbehMptOtwUDflakKvO9uMTyZpJ5zvVHCHscVT1PoVj/m/nu7gADucr3tVKA4HDlh2rMGNUNLIZtGi9oDloieU50B6t6rq0ms99Psd4bZVZQZ0lhJpFb/YYCmG863+Ct7jV7q9t+b3ULIYTYsiKpPD/6BxcXSsm2m6vDc4Q9jkWld/Xi5licM73hivcP2oxmn865JUqwIqk8brtKrljmRE+I849LGve0eDd9zjO9YX7jEyeIZfJ8+Ne/TrZQ5r37W3htTyP/+a2hLdX/aLPKBnSF3TyYqt9edNUWcttxObSqBwMHZlNoCtRz9ai/sTqZsH26g1tXRit6zI4OHw/z1StVDNs09NenuDL39vPmWGcQTVVQFFAfl8Zv19+1K+kIu3iglWFDI0y2pgGtTKvHzlyqisMRtpAPHGylLVC/mflWIEEuIYQQW0auWFoyKLFdODSVdBU3PtVWKltrxrjbodEZchFL50nk3s6aGJhN43ZoOGzaQoALKjOAzKNrNPl0mnw6f/IjLxLLFHhtTxMAX7k7LUGuZ7jsUpSwkj0tvpr0ymrxO+mfqXy2Ui0YwKn39HDBUapKA3cFcLlsZDKVuTa7XDayJxqgitMU9yUNLs0tDoxeGYk+d7vDHQGum9hL0Yo8Ljt1P+64kgyDFxMKlyTAtWb9M/LGzWZJkEsIIcSWMR7L8tqeJhLZAolskXimQDpfIpUvLhmACLntdIfdPJxOkcwtvwFx2FSavDq6TaVQLjMcMWcC4Gp2NHm5XcdBkILFmuYPzKaB+edJV9ix6Oeezi8uFWoPOskXNx+k6wy9XfJ4tCu46GtjMSnNe9ZsKo/LrpEp1H9PqGoYqdG00qCrfqdcnvxgH98w8lClGPvDXJ4d7+tif84gNZKkXDIoFkr4wi7uXpsilytht6t4PHYURWEuml2xV7mua4xWMcB1RNe5+DeP1pSHZFQisr/F3B+Ls2Ofn0c2eWwA3IbC1bfGzF5GXVAU+PF37uRH37HT7KXUPQlyCSGE2DJOdIf4Tz945rnPG4bBVCLHm49meTidYl+rj0PtAbrCLhRFoVw2mIhnmUvnyRbKFEpl7JpCg0en0afjcWgoT70z+y//+x0+/eWHtbxra+LWbXU7XREgnimwp8W7MN3QCtqDTtoDLh5ML72mHU0eQi4HV4bnKlKq1b7M8IDLQ3PcmZBGtM8ai2Y52xfeEpP9qmE8luFMX7jqGa6a1RrqrYORLICnuud4lMvzCKBzcd/EwHva2WWzM1kuEVRV7uTynLbr2AtlJnWFxsncogCBAfQdamKiShP7juk6Y18eWXOh3a3xOLubvdyXkuEFhgHlizM0n2pkSqvf38eV0lhWmDV7EXXi5Z2N/NwH9pm9jC1BglxCCCG2PEVRaPE7+eixjiW/rqoK7UHXsgGGZ/3cB/ZycXDOUhvrZp/OpTrvjzIwm6bJp9MWcDJugaylnU0eZpI5LizzuIY9dh5Np4DKlGm1+HVe29O45Nc6Q268uo1Etn7LUasllpEymOWUjRpl29TxXn7w9iyBs43ESrUvl46VysRK8w25px9/7nzhcYPuHEw2aLS0eZgcn7/GHP+mPt4oVafnYo/DzvhXR4nH1378sgHJXIFGr4OZZP31gqyWiWiWPbfjTB/0Ymzz0sUhrczJ7gA3B6JmL8XyvLqEZipFGhkIIYQQ66QoCh851m72MhYJexwU6ziL64npRI72gNPsZQAwPJdhT4tv2a9HUgV8zs39UWpTFd6xp4lf/NA+/uzHXuJge2DJ2z3p0fV/fewwp3tDmzrnVhNJ5dGeHXkpFtQiu3MkmsFep9lckdkMB0vWnGiaLJUJn2rB5bJx9Gw7b1YpwLVXd1B8Y5JYdP0T8MZjOcoGdAZdnJFr04LBySTdJdlq95ZUJmbSZi+jLqzUNkOsj4QLhRBCiA34wMFWfu3z9yzz7nW1sjWOdAb4jz9wmlSuSDpfIp0vEs8UiWcLJHPz/07liiRzRdL5IqlcaeHfiWyRbKFEtlAmlZ+/zVqWqWnW2Bjki2UuDs6hKsv3o97d7OXSUHTD5zi7I8zvLVFiu5QD7X4OtPv56LEOfuT3L3B1OEpcMrtIZgt4dZtkdC1jNpXHp2uLhidUmsuuUazj0Yr56QzeVgdJE7K5VnM5n+Pllzt44AQKlX+9v4Sdi5/p39QswEgqTwQYjWZoDTiZsEAmrpkO9ATJ7PBye5v35QqXFfJvTtXlxGczjMcyZAslnHZrBt3riQS5hBBCiA1o9Or83g+e4Yd+9wITcfP/oL87mWR/m4/b45VtPJ8rlJmIZdnd4kW3be4Pr3LZWAh2JbPz/088/n8yNx8sSz1+J3Mqnl1o/G4mA7ApCuVlonPqJkpRVAW+dZkS2pW4HBq//0NnSeeLXBycoy3g5N9/5RH/5eLIhtdSz/a3Bbg4VN+lutU0OJtmT4uXRJV63YU9DrKFYj1XLHLj0iS9H+njTpUypTbrG1oRqhDDbbLbmLw8u6kA19MMoCvk2vZBrnKvl9uOen5FVEa4DCMS4Fqzh9MpPvnbb/HpT5yg2W+NjPZ6pVhtKoaiKH4gFovF8Pv9Zi9HCCGEWFG5bHBxaI5z/RFujsW4NBg1Leh1vCvI5eFoxY8bctv58s++i4C7dhPUiqUyf355lF//4n1Tp1mG3HbCHgcPp5fuu7WZpt7v2tvE73xqbVlcq/nctTF+8j9frsixaulAm59SuczdDQZgbCoc7gxyeRPZdNuBblNx2NSK93Q72O4nnikwXKMpjtXS1eMncyTMSBWnFlpJh8NOx2SOa+fHK95PTbcpNHh1xqLbM9DV0+ThwfEApU28AaKw+MeyW3egAPdy9RUw8pSh9PlRs5dRdz50qJVPf+LEooFHYl48HicQCAAEDMNYdhqPZHIJIYQQm6CqCqd7w5zuDQPzZYPDkQznByJcGIxwrj+ybIAE5nsyeXQb3sf/+Zw2wh4HPqedkNuOz2nH77LR4NVx2lQuD0e5N5Hg/lSSocjbmU5tASc3x6szfW8uXSBXLAG1C3LZNJWPn+riW4918Cfnh/i3X3zAdGL9/WI2ay5doNmnL/k1r27j3uTGM+e8zso9nspTuRg7Gj0UymUMA2aTeTKF6pWpbVbZMLg7meRMb4hi2WB0LoPBfJAzkl494NDg0ZlJ1v55UW9yxTKHOwOMzmWIpvNkCpsvyzvTF+bGSJR0BY5lNl/QycNtEuA6pus8+Kt+ZovVSXTIFQ3aA65tG+RqD7txjhbwtLh43b7+a2/IptFyO47H78DhdYACVz7fj9fj4OyBRjSPnYdumKxC6WqlOanUWJbt5a9vTPBv/+4BP/Pe3WYvpW5JJpcQQghRZddGovzV9QkcmkLQ7aDB66DRq7O31UeDx7Ghd+siqTx/7zdfp3/m8dStKmVxaarCCzvC/OEPv1DxY69HJl/iP36jn3/3lYc1nzC4q9nLg6nFmUbv2NPE7mYvX7g9uVBWqanKmpt8B1x2PvOTL9PT4KnIGt98NMt3/dabnOwJ8a+/8xjtQReqAlOJHN/8b79u2UBQs09n6pngpU+3kS6U6Aq5CLjs6DaVcwPPlyN2Bl0E3HZujlUnuLtVOe0qrX4nyVyR7rB7Qz3ljnYGuD4aW7ZXXT3a1xUg0OTmWoPKnDXaAlacQ1FovxplYrw6patPqAqc6A4tO5l2q7Jr85OcRx5nNh4+1Uqu3c213PLXX4X5TK0HuTwGcHK6yI1LkyuexwD6PtLHHYtndqllA8fnx8xeRl060hngj3/kBdwOyUl6mmRyCSGEEBZxpDPIkc5gRY8Z9jj4V99+hG//d28AVGW6nG5T+Z1PnealnY0VP/Z6uRwaP/GuXXzibDef/vJDfvf1AfLF2mSQ+B9PUNRUhZd2NvDj79zFizsbADjZE+LNR7Mc7Ajw6u5Gfv+NQZK5Iu/c28RcqsAfnx/i/OMAjduh8Z79Lexv87GzyVuxABdAZ8jFhw618o49TXSF3Qufb/E7+fCRNn739YGKnatS3HZ1yYbEicd92Z7uyba/zUe2UF4I6p7pC3NhIMJI9PkyuUavg1a/E6ddI5opPBeg3O6yhfLCYzuTzONxaBxsD3BuYO1lt+OxLKd7w7y1wVJdqzjVMx+IOds3f1/UkRj+96y/T169OGZzcK3KAS6YH9RxezyOTVXqbuqvqsxf6wvrGKQQcNlp9DoIuu1cHIwufP76hQkAXny5k8mwnUf5xde7w7qOfSjJrSujHDvajDPk5NKl1cv7AgEHAwXrZx72llUkxLUxdycSTCdy9DRIuGYjJJNLCCGEqGM/8YeX+Mvr47jtKoc7gxXddGqqwuu/8G5aLNgAdSKW5de/eJ8/vTC8rs3Iejg0lQ8cauWFHWGOdQbZ2exd99SjUtngr66P8yfnh/nRd+zkld21Dxi++WiWf/hn1xi0QCP/pz0JMKzVmb4Q5/rnb3+0K8DV4diirz+Zgnm0M8DVkfmv2TWFo51B8qUy6XwJm6rgd9rJlUpEkvm67yVVKQfafICC3aZwczTGavFjm6rQ1+ThfpWa2dfC6d4Q5wfm8Om2hcAqwNFdYea63dyzW2uPVAkvl2xc/MJgTc51oju4qcmzZjnVEyJXLHFrPIGmKrQFnPiddgZmUgvPkwaPg86Qi0yhRNBlXzLTdCn+gINQ2E1Dt4/YeIqH99b/+7q1zUvDqWYu5q2Znfu0FxJw5XXpybVedk3hhR0N/Mx7dnOyJyS9uZ6y1kwuCXIJIYQQdWwiluW9v/oVkrkix7uCXBuNrblkbi0OdwT4zE++bNk/soYjaX7t8/f4b1dGqeSfNPvb/PyH7ztJZ8i9+o3rwHgsw8c+/TrjFpl6pjDfR25sHevpDLkIux2MRNPsbfVTLhuk80UeTKWwqQrZYgmf004yV1xTlt+OJg/JbPG5csntzqYqHGj3o9tUpuI5BiPPB0cVBRo9OtMWLYNdiydBrqXYNYWDZ9t502vM39ktwKEoOL84Rj5fmwzYY51BbozFKJYNPA6NsNfBXKpAMmfdXlJPPyc6gi7yxfLCc7zZp9Pb6CGTLzIUSRPLzN8Pr66RzNWu7+HRb9rBW6X6eN29Ml7gwrUps5dRV3Y3e4mk8sym8gRcdn7zkycskU1vFRLkEkIIIbaJP780wj/77E2yhTK5KpTwff+LPfyD9+8l4Kpd4/n1ujuR4Ff+9i5/e2vlXiZrdbo3xH/50ZcqciyreJL1ZwUeh0Yqb35D/L5GN/0zaXSbQq5KjbjrmaLAmSXKEt0ODU1Vat4fr5IOd/i5PrpyP7e2oIvOvgDnGzWyioHTgGwVSsOrTQXOqg4u/3V/Tc97qieEqiqk80VujMbpCLoYXaLE2Cr2tXq5M7G+7MR9rT7uTGx8AMl6nXhnN6/r5l87V2UY7LsSY2BKWs+vVZNPJ5Mv4tXt/PJ3HOXlXQ2WfYPRLBLkEkIIIbaRP70wzP/6326QL1XnXfqOoIv/9uMv0WzB0sWnXR2O8st/e5ev3Z/Z9LGu/JP3EXQ7KrAqa+ifSfGuX/6y2cvgdG+Igdm0KdMyn2XXFDpDLvpn0uxr9eF32TlX532mqmFXs5dMvrQQoGj0zk+AfdIjrd5spJSut9lDPFWg+2gTWZvCFZe19lArecmwc+lvB8xeBgrQ3eC2XOn0k7LmjTTKX2/Z9WYdOdPGuZD1JyO8Olvm/AVrvKlSDzwOjdaAE1VR+LMffwl/BacvbyVrDXJZ/xUihBBCiFV9/FQXX/q5d/Jj79yJz1n5RqVtAaflA1wAR7uC/P4PneUPfugsB9o292bZn14YrtCqrCHsdlii8urmaIwdjZVrur8ZhZJB/8z8hvvORIJz/REOd8ibrM96MJWkyadzvDtIwGUj+7gXkQKc7QubvbznHGz3sbfVx6meEGf6wuxsWvx8UzfwQhiYShFJ5bny+ih3vjrC8dtJXp0pE6xN9d+G6arC0CVrlIwZPJ4m2Ow1dR07Gj30NrjpCrk40xfCoakbDlTV+pr64MYMNgtcx1eiG3DrujWec/XiQLufh9MpPvVynwS4KkCCXEIIIcQW0RF08Q8/uI/P/dQrFd9EfO+LPRU9XrW9sruRz/3UK/zG95x4boO7VvfquKn2Um5PxCvat2yjDnUEmV1iqqJVXB+Nc7BdAl3PujIc5fJQFFBw2FSujETpDLu4M5HgRHeQtoBu9hIXjMey3J1IcGFwjnP9ER5OpzjaGWBfq49Wf2V6id0einH+4jgdN1YueTTbMdXO7BJ91cwyMJvmwVSSUz0hU84fcNkplOYnjA7PZTjXP7ep0unb4wkcWu2iTnuONmP1yuocBu0NW6OfZS14dRt3xuevI6d7zXldbDVSriiEEEJsQYlsgb//x1f4uzubeze1K+ziX3zbEVOmAlZKqWzwZ5dG+DdfuL+ufjD/9FsO8AMv91VxZbXVP5Piv14c5je+9NDUdaylF5IVNHgc2DSFBo+DW+O167lTr870hpmMZ8kVS0zEzStFPdkT5OJgtGbnUxQ4ebiZr7dZL/ui0aaR+MshrJj4Y9cUjneHKloe3B1243JouB0aDk1lYZdrGMylC4Q8du5NJommCxU7J8xnM1ZysvGKlPnm8xkNruXML/lezqm0wo2vjZi9jLpwpi/Muf4IPqeNy//4fdg0yUNajvTkEkIIIba5ctng337xPv/6C/c3fIyr/9v7Ld1wfj1yxRJ/8OYQn/7SgzVlEmmqQotPpy3oosWvc7o3zKfqPOhVKJX54d+7QM/jd9n/6vo4M8naZlUd6QhwbTRW03Nu1pm+MBgGFwfnKFnrT2fL2NXsJZUr0hV2kS2UuTZS+59xT9jFZCJHtlDbGsJGn473dBN37AYvxQxiTpWbuvlPlL26g8HP1LbZ/HqE3XacDo2x6OanvvY2uBkwqddXg8dBb6OHy0NzVHC48YoM4OT7enhdtejwB8Pg5N00N2sYcK5XO5s8PJxOcaQzwGd+8hWzl2NpEuQSQgghBADf+/++teFG7L/9fad474GWCq/IXKlckd99fYB//5WHxNcxHe7jpzr5l99+tIorq43C4+EEdk1lJpnj33/lIef6I1ytUlDiRHcQg/nHPeCyc2M0TqZQB9PBlnCsK8iV4ajZy7A8n9NmyuTF070hzg/Urgn40zy6xt7jLYzdjjAZz9Lx7k4e2MzdZ72UUbj0VWtn07jtKs1+56YDVA6bCoZB3qQotMuhUSqVa3p+RYUD37yD64U8eYvt6QFenSpx/vKE2cuwvCfThrfiVOdKW2uQq/KdaYUQQghhGclcccNlFIoCHn3r/ang0W38xLt28cmzPfzW1x7yO98YIL1KTxavbuNHXttRoxVWl/2pUohGr84/+uYDFEtlxmNZvnR3inP9EYolg66wi75GL19/MM0Xbk+RL76dHaMqrJqx0BF0EXDZ1j3FzsrS+SIH2vwoCtwcs37JpVkyjzdsqqJQNgzuT1W+RGwpkyaWSaZyJS69ObbwcdNIltEenYyJtYKKXTPv5GuULpSJZgoc6QxsKvtP11QSOfOymva3+mp+rTPKcPOzj2hscOF9uZV7OWv1Oiw7pOxuNbuavTyYmu//+eLO+m0LYTWSySWEEEJsYZ+9OsZP/dHldX/fd5zs5MfeuZMdTeZOwaqF6USOn/qjS7z5aOlgYKPXwe/94BkOtgdqvDLreP3hDHZNpfQ4stURdOF32bk1FuePzg3xmatji27f6teJZYp1m7G1Fse6gtwej9HodTIazdAVdjEcWdzzTVFAt6nLls/ZNYXCFqx/9OoahZJB7nFgVLeptAU2n62zElUBp11bNWBdS6fOtPP1kHlRrtOzJa5fqI9MGlWBfa1+bo1vLHh8vCvIZROzLGval2sJzc0eRo4HsdKwT6dhcGqyxIWrk2YvxbKezj79eyc6+ZWP13+2eDWtNZNLwqtCCCHEFrZrg1MWG336tghwATT5dH7/h87yibPdS3792092besAF8BLOxs53RvmhR0NvLCjga6wm4DLzos7G/jn33aIP/ihs3zP2W58uo1vP9nJO/Y0ky1aJ9hQDVeGo5QNGItlFibFne0L49U1/E4bp3pC7Gz0sL/17TdtHTaVfa0+fLqNM71hQm4HJ7uDHO0MsLPJw5neEIoVu4Sv04F2/0KACyBXLNPid1b1nJqisK/VV9VzrFvGvMwir6by8Nasaedfr7IBum3jT36thhMOl/JWf4SOoMu0809NpTg4mGUTD2HFZRWFr7doHOgOmr0Uy3o6I/rPLo1wYcC8QOlWIplcQgghxBb3Y39wkb++sbZ38x02lX/0Tfv5rjNd6Dbrl7pU2u+/McA//ewtSmWDo11BfvS1HXzocJvZy6ob5wci7GryEvI4iKULXB+NcX00xqWhOWKZAleGouRLVso1qLxXdjUyEc8ulKA0+3S6w240VSFXKHNlJIpdVSgsU+95pjfMuTrd6JzuDWEY8wHA4jP370xfmAsDETwOjT2tfkolgysj0TUfW7cphNyOVSc3+nSbqWVrT9vXFeDqfg+GCZHLfbqD/s/0W3Ky4nJO9YS4MLj+nmpdYRe9DZ4N956slONdQVRF4cZYlFzRnD32ngON3Otxkq1VB/w1OJBXefSlYbOXYTmKAj3h5wcm/LOPHOT7X+o1Z1EWJz25hBBCCAHAr3z8KMlccU0bgA8fadvWf1x974u97Gjy8nA6yfe+0IOyFdJqauh0b3jh3wG3nVd2N/LK7rf7jBRKZSZiWe5OJMgUSgxF0twej/OF25M1n4hXLZl8cSHABTCVyDGVWByYWS7ABSzqfVZPjnUFV2z6fq4/QqvfSfnxlMpGr4PTvSEeTqeIPDXt9Nl+b15dw+e00RX2kMoViaTyi5p7P1vyWbTQG/h3hmP07vHRb0IDereh1FWAC2Bkbv3lrAfafNyfStLiq26m4Fo8KZc80xfmnEmli/duzxDY0UO2bI1AL8AdW4m+sIvRZ8q5t7vTvUs/T37vjYFt/XdYJUiQSwghhNji3A4bv/39p/j7f3xl2Ywuh03le8508wsf2lfj1VnPy7saeXmXNICtBrum0hV20xV2L/p8oVTmjYezfOPhDG8+inBjNLbQ/6verGdi51JsJpddbZTB6j+viXh24d8zyTwzyTx9jW52Py6rnkvnGY9mKRoGbruGoswPzxiP5RiP5VAVONQe4NpoDLuqcKw7yJ3xBEc7fYzHsoTcdm5YbCDAuFrGZShkMKhlLapuUibRZkzEcxzvCoIyP43Vpqpo6vz1we+0ky3OB8ltqoJbt+F32rg9HqdQMtBU67xukiZMFn3ixPt6eb1Q/SEP61FWFZxHG7B9ZfS5DM/tyu3QFr0Z8rRH0ym+cGtyy022riUJcgkhhBDbgG7T+DffdZydf3ef66MxYpkCP/+BvTyaSfH6wxk+eqyDDxxsNXuZYpuyayqv7WnitT1NANyfTNDsc3JrPM73/PabWCg5Z0W6TeX+MhuXtRqNZtBUpS6CfGG3nb5GL4lcgZENZmn0z6Tpn3k+gyezRAP5sgH9MynO9oWZSeYWMscuDs3/fzRqvUyR/XdT3BmO8cqhZr7eZqtZoEupg+fPUjbaPL4W0zvXKl8q0+h1MJOs/bTDjK6CtYYsAnDTYXDktQ4Gvz62qF/fdnWoI7Bstp+mKrgd269dRCVJTy4hhBBimyqWytg0mUEjrO2XPnuL//iNfrOXsWYNHgezqc3tMs2e1LZWhzsCXB+Nmb2MunHyQBPf6LTXJNC1S3cQ/eIIyaR1gj/V1BF0WSrI2dvgZjiSptbDU8MNLsZPhdeQV2mOozcT3B2xVrZlrTX7dPxOGw+mU899zWFT+fkP7OWHX91hwsqsT6YrCiGEEGJFEuAS9eBnP7CHtoD5/XbWaucGJ5o+7a3+CEc6ArRa+H5rCgzMPr9JE8u7eGuaFwfz1CI1caxQZM+L7Tid26NwJ5kr4ndZ574OzKbpbfRQyypKA3C83GLZABeAN6CbvQRTne4NMZXILRngAviBl3olwFUB8tetEEIIIYSwLLfDVje94kJuO5l8ZfrxXBuNMZPI4rRb88/1kgH7W6XqYr0u351hf6H6P9N0uczrapE9R5qqfi4riGUKNHmtFUB5OJ1iT4uPzpCrJudzu2yEDGteL56YbNHpa9n8GwH16Hj3ysM5YH46r9g8a78KhBBCCCHEtvctR9o50hkwexmr2tnk5fpo5UpximVo9Vs3m2stzebF8xz347w8UpvGSeMtOsGgtYI/1dDqd5ra8H05dyYSeHUbnhr0WMpkitz9q35ewm7ZTf4Du0H/UT+nTrfXNMvNbGGPncgqPdq+78Wehb6UYnOs+vwXQgghhBACAFVV+PkPWD+ba/Kp6YGVotus++f61eEop3tDZi+j7twdiXPx5jTHsgpalUsXR/IFHA7rlPFVw8F2P15dYzKRM3spzznTG+bBVILUEoMUqqFcMrj0NwMc1q0b2MwqCl8PK/RWoLS7HrT6nTT7nAxGnh+w8bR9khlbMdb9rSmEEEIIIcRjr+xu5Gxf2OxlrKihCuVSdyeTHOsKolkw7SFfMlBqNC1wK7rzlRFaX58hXFJoLin0FhXsVYh52Sxa8lop6Xxp2R5HZtrX6uPcQAQzhgnOGdaeYLinoDAZzXCqJ8TuFi+HOiob4Am67bUaZLqisMeO3aZwZyKx4u2cdpWRuZWDYGLttnZYXwghhBBCbBk/857dfM9vv2X2MpalVWlXdWU4ytGuAPcmkmQKtckIWauBmRStficuh0r/jGzS1ms2mWfnzRhTcxkmskX2vLOTm3rlIl0tdhtevwNGK3ZIy2ny6fTPWC/IpZoYZenMwpBFY5uKYVC+OkcqV+LC4Ns9qo50BlCYnzBYNmA2mSOZKxLLFFAVyBXX9ro40xfm+kiUtoCTrpCbQqnMWDTLxAYybXsa3DR6dfLFEg+mUgvXX7umoKkKB9sD5ItlCqUys6k8009lEzrtKj0NHi4PRVc9z2997ykpVawgxajBdI/1UBTFD8RisRh+v6TsCSGEEEKIeYZh8Pd+83UurWHTYAZNVdjb4uPWeOX6cj3tVE9o0abQao50BCgZBjfHqnP/t4Ped3dyp0LpXI02jfCNGEODsYocz4oUBbpD7lVLwWrNZddo9DkYjmTMOb/LxtxrLaacezWvTpU4f3li3d+3o8lDo0fn1niMZG7pYP+uZi8TscxzX+8IOmkNuCiVy9hUFVVRSOWLS16rGr0OdjR5iGeKizKwWnw63Q1uAIZm559vT5fIht122oIu4tkCbrvGo+kUhfLaXstf+AfvYNc2Kd/cjHg8TiAQAAgYhrHsLxrJ5BJCCCGEEHVBURR+6j27+dTvnDd7KUsqlQ2imeo1FFctmpnxxLXR+WDKmd4w5wYiJq+mPqXOT/PC4Ube9BqgKHQUFdKqwdw6f/ZNdhvBa3MMDW3tgKNhQMBlN3sZi4Q9DgIuu6nZZeFGF1Gw3GiIV+aMDQW4AB5Np3g0naIz5OJAm4tkrsCt8QSaMv8Gg8uh0ezTeTCVfO57R6NZRqOLM7kUYEejhyafTjpfpH86Bcp8duXMEk3iJxO5Ffu+RdIFIunCuu+Xw6ays8mz7u8Ty5NMLiGEEEIIUTcMw+Cjv/ENro1YNzul2aczVaUm2Cd7Qly0cDbXE15dw2nXltwsitXt6fDjcGhMzKRRFeje18C5gEJ+DcEup6rQcyfJYH+06us0i9OuEnY7sGkKE7Es+ZI5e9q9rT50TSVXLOHVbSiqQr5QXgj4miEcdtF3rIkpr8b9nHVef3sKCsNfGqGS4YeOoIuxWGbhmEc6A5b+3bCc27/0QVw1mMBZ7ySTSwghhBBCbDmKovDT797ND/+nC2YvZUkBl71qAS6AayNRdjZ58DntXBmOVu08m5XMldjZ5JUg1wbdG128f5s6N8bud3Vy07F6hOBEycalJQJcQbedXc1eLg/OYVJMaNNsqsLOZi/5YpmRSHrN5WDVsK/Vx3AkXbPJiWuVSOYwNMVSAS6A5ukCQxX+cY1GF5eDXhuJcbwrSDRTsGSftqU4bCrOLT4cotbk0RRCCCGEEHXlPfub2W3R/iU7GqtbdlIoGTycTvFoJsnp3tDC1EW7ZoFRYs/ImTFWbguz3Y/jePyQ7iwovBIp88p4gVciZV6dKnH2YYbDBZWrfze45PfvafFxcXCOEz0hfM76zHU40RPi7kSC/pm19zuqhvlyxKTlAlwAhXyZ5Ki1Ajyn0goXrk/W5FyXh6P0z6Q4Y/FpvE+4JYOr4urz6iaEEEIIIbYtRVH48Xft5H/6k6tmL+U5tZp+GM8UuT4S41hXAFVRSGSLuBwadk0llStSLBkoynwD7NFopqrZZct5OJXEpioUTQxGbCV3R+IEZ9P4X2wl8DDJhcHo8zd6EOFkT4ixaIbx2HwPot4GN4qicK5/vk/a+YE5djV72d/m4PLQHIU6SOty2TX2tfm4XaWhDusVyxQ41hW0bDalO6jTarcxUSiavRQA7NPrn2y4Wef6I5zuDXFrLG7JYOQTv/ihfSgmTuLciqQnlxBCCCGEqDuFUpl3/qsvP1euYiZNVcAwLFcKdqYvvBDgqKVGr0PKFatAUxVKqwQOAy47e1u8FMsGs6k8g7NLTx881RMi9bjpdtaimXe6TSXscSwE7azCrimE3Y4Vm5Gbac/+Bq51O81eBgBHbiSeK8GtFVWBA+1+bph0/pW0+p38+Y+/RHvQZfZS6oL05BJCCCGEEFuWXVP5oVf6+KXP3TJ7KQsCLhuR1Pqna1XbpcEIdk2hUDLQHm/4XHYb8WwBwzAYiqTJFCof4MhYOHuinq0W4IL5TKNzA6sPKLjweIjB4Y4ADptCLFNEAUbn0qSr8JxYj1M9IQxgKp61ZOlroWTg1m34iyXiGWtkTD3t7u1ZXm7v4YELJk3M6NpZUHg4njDt/GUD7k4kONsX5i0Tgv0r+f6XeiXAVQUS5BJCCCGEEHXpfQda+NdfuEc8a40NZtqiQZ1iGfY0e2gNOnnj4SzXn8loaA84ORJ2MzibYiJeuawU3a6RypfQbaolgxTibdefmQa4v83H7RoGJk52h4hm8jR4HJTKUMbg4XSSubT1gsZP659J4XPaTMuWXIkCXPy7QVrbvHAkYNo62qbzjJpcslwoGbz1uHzx6nDUtGmcz2ry6WYvYUuSxvNCCCGEEKIudYXdvLanyexlLHDZrdtA2OnQ+Oq9mSX7L43FsrzVH2EinuNwR4BWv5O+CjTQj2fyHGz343Joln5sxPNimdoFl453BUnmijycTnFuYI6LQ3NcHopaPsD1RCJbZNxCZdPPmhhP8mJKMWXjHyrDtdszJpx5aecH5jjWHTJ7GcB8puLHjneYvYwtSYJcQgghhBCiLk0ncnz57rTZy1iws8maEx8BphNZ1tLb+PpojIl4lmg6z9m+MKd7QxzqmO+T63etrwikWIabY3HaA86aNeQXldEZdNfkPD6njYHZFHcnzStnqwSrZJMu5/LXR2iy176IK6EY5C2WxVksWWM96XwJVZWG89UgQS4hhBBCCFGXzvVHSOass7lcS68ks3SFPaxn3tRcusBb/RHOD8xxYzROa8BJIlukweNY97mnE3l8unRJqScT8eo3efc5bTR59brJ2FpJMldEs3i8one69o+zFUPbqkUmGXaHaxNI3o4kyCWEEEIIIerS392ZNHsJi9g1a/5p3eBxPNdzab0mYlkMA1oDTnassZRRYb4kJ5LKsbvFullu4nlDkTRhj4Nmn87JnmDFj++ya7jtGo9mUhU/thk6gi7LTVV91q3LE7TWOJvLi2KZUmVVgbN94YVhC2Z749EsZQu/MVLP5C0VIYQQQghRl7wWyg462O7n7qT1RtTDfBnluYHKNMW+OTZ/H0/1htAUhUKpzKWh6JK39bnmS9G8Tju3xmv32Giqwu5mL36XnYlYlqFIumbn3koiqTwAM8kcx7uD2FSF82uY2LiavkY3Pt3OtU0GXq3CYVNJ562TUbqcQr5Mb1ll4qnP2RTY5XAwWy4zvcwExkabhkdVGcyvLxMsUIauG3EemFyq3OzT6Qq5uTeVsNR0RZddQ0Jc1WGdvwyEEEIIIYRYI8MwGLNQs2ebqhDLWHOjO5Os3MTEJy48FezoDrvx6rbnAlltfieaqtYkwNXodbCzyUupbDAwm+LOxHyPJ1WBzqCL9qCLSDrPyFyabMEaPXnqRdmAy0NRFAXCHsdC8GutWv1OQh47LrtGvlTm5mh8S23uj3UGKxZErrbLf9XPix/q445aYl9ZY/rmLANDcex2lZdebGcqaKc5bzB5fZZMpojTZWN0NEFaU+gKu/C82MKd3Bp+/obBjrupmk7oXIqigN9l5+KQNbK3nnag3Y8mPbmqQoJcQgghhBCi7iiKQnvQZfYyAHA5NK6OWDcrZSpR+SDX04YiaRQFDrb7uDn29qZWURRujcexqQrFKpblBN12WvzOJbM0ygaMRDOMPA6IdgSdNPucXB2JIpVC62MYsOtAI8WQg4ELk0QiKweZfbqNA+1+7k4muD1e/R5fZskVrdh5amkKMH1zltOdAe7eGGMyPn9tKBTKXPrqCAAjS3xPuWQwPZ0m+flh7O9opfBMg7+GMuyPGRQiWYqPG83fHDL/mnioPbDpUu1qyRVLGIaBYpEeYVuJBLmEEEIIIUTduTgY4b9dGjV7GQD4nTYyeWtudBu9DmaS68u82QjDAMczPcnuTCR4bU8j04lcVTM6esLuNQcZR6NZRqNZvA6N5oCTR9NboydULbhcNu622JksFHjpdAv2a9NMjKdYbot+oN1vqfKwatBtKg+nkmYvY11GhuKMDMU53RtaCHKtla5rxJ4JcLkMaLke48KE9R4Hl8Ma/cCW8o0Hs5wfmONMX9jspWw5EuQSQgghhBB1R1EUMib3enmit8HDdCJnycyg9qCrJkEugAfTKQ62+3FoKnPpPI0+naHZ+Qbm1XCmL8zATGpDWXTJfInMTIpD7X7i2SKZQgm/04ZdU0nkiozOWacU1ioOvNjONx73bXqdAhwJ8tKRJi79zcDCbY51BbFrCtHH0zm3ulyxzMHu4LJ96awsmln/tMVUusALioPXjbevKaemSpy3YIALWDYAawU/9s6dEuCqEmuOgBFCCCGEEGIFx7uC/MtvP2L2MgC4NhqjwaObvYwl6bba/bmfyBa5ORbn8nCUgdk0FwbmCLkdFQ8A2DWF411BzvVHNlWKWTLgxlicuXQet13l4fTjXl6GgVQQLeb3O3jL8XxQeeypp/2Z3jBXhqOcH5jjfp1lN23GpaEoIbfd7GWs28wGXjuFfJlLf9PPUX3+B+8sGww+ilZ4ZZVjwfcdFpzsDpm9hC1LglxCCCGEEKLuKIrC1+7PmL0MADL5Em0Bp9nLeM7ZvnBFpuFths+5dOHIRsuI7JrC/lY/l4ejm1jVYn0NHgaf6i/V5NMxrLw7NkH3rhDFJR6TVNkgGNQ5ujPMWxVovu7zOTj+oT5OvqcHu70+tqpe3UZsA1lRZtvR5N3YNxrgTc8HPEuKgmHRF8uhdj/nLZxNuKPJY/YStiwpVxRCCCGEEHWp2W+N7Klmn86jGWtlrhxs91li4ttYLMOZvjDFUpmZZJ6hSJp9rT5G5tIc6wpQLBm4dRuT8SxlwyDscTA0m6bZ5+TuZAJNVSiV5zOrukJuWv3Oit6v3gY3A5HFfbnsmopuU8kV357C2OzT6Qq7uTUWt0yZbDXtPdiIO+wkOZ1hZDCG0u6BwvOZP9OFIp4Xm7mCQVs6z8T4+l8HBtDQ4KLlpTbuFQu8Uc6DDfZ8qAft5hz9D6Obv0NV1B50cm/SWq//tdhMcOrKl4Z4+R1dvGEvEQ7oTFd5uMVauBwazT6dBo+DVK7IjbHqT3XdqF3NXnobJMhVLYrVIq+KoviBWCwWw+/3m70cIYQQQghhQflimW/6t1/jgQXKonSbyq5mLzcttKk63RsyPYtrZ5OHRzOpRVlRuk3BMCBfMtCU+emHBvObvkgyTyT9dq+fzqCLWLZAR9CJy65xebiyU9IOtPmJpHJMLNF82++y0dfo4epwjO6wm7l0nkS2SIPHQUfQxTWLTmyrBAPY/ZEd3Mjl0AC/TSNWLFFe5vbNdhuhG1EGB9b3mASCOjsONZEJObhRyC2ZKeZQFPocdlyGgjKQ4Nb1acv1WTreFaxoZmEtVOr6cPx0G5fPj1dgRZuzr9UHzA+7sDqPQ+PiP34fTrt1m+JbVTweJxAIAAQMw1j2F65kcgkhhBBCiLozFElZIsAF882nNQs1cQq77czWqNn8cs70hbk6HH2u7C/3VCSj9NTXlvpZjkTnSwjvVKmptc9p49b40vukeKbIw8kku5q9xDMFEtn5huuzqTwe3UZfoxu/y86N0TglK04c2ISA38Hd/PzzpwTMFVfOXCsYBg27gxSOhGkcz3JtDUEPp9OG/mobb+QLkF8+CyhvGNzNPX4utzsIdnfTrtnwz+S4cW6M4lKRsRqz0Et/VTubPDR69YoMBbCpoE1lK7CqjXE5NA61+ymWDB5MJxdeo1bW6NX5jz9wSgJcVSZBLiGEEEIIUXdujVvrHXvdIv2DDrT5mE7meTSTWv3GVdLb4OachXvhPDEZz2JXFQrLBKmS+RIPp5LPNa922tWF8rQmr05fo4c7E3HidbDJXovWTj8z66j2mSuWeF0FcqC2OdF1jVxu5cDY/nd18UZ+/YHYaLFEtFgCH5z4UB+JazMMD5qTQXm0M8CDqWTdTFa0qTCdyPFwujLXhpM9YdMmaDb7dJp8uunZquv16u5GjnQGzV7GlmeN38ZCCCGEEEKsQ9lC2TNNPp3hSNrsZXCmL8yt8YTp/XFCHoep51+rZp8TY5X5a0t99d5kkjN94fmgQTLHuYEIvY1bo7+OARi7/MuWJq7mQS5Pwwe68XienzaoafMpT3sONHKZzTdqv5TPcX+fjwNHmzd9rPVq8es8nEqSytdHf7ag286JnjD50kZ/ss8zK4PxRHcQ3a5aqjx8rbpCLrOXsC1IJpcQQgghhKgr47EM//vnbpm9jAV2TWEsal7ZDsxPUjQrq+JpvQ1uy5SRriaVL6KpCsUNbNbP9Uc40xteaII/GTf3579Z+4804W52U7arvJHbXJB0KJ9Hf5zVFgjq+Pw60UgGz7s6KAPX8oX5ZmwVMtjppHPOz8hQ7YIe04kcOxo9PKhQVlS1ODSFRp9Og0eveHZlPFu7iZIBl529rT6mE7m6yZxbSr31bqtXEuQSQgghhBB1pS3g4gOHWvnPbw2ZvRT6Gj30m1ga+IQlMsmeCvrUg6HZNMe6QhsODl4cmuNsX5h7kwm6wm4ml2hgXy8MA6bdKvdyeTyayv6JPLl0EX1XgAtLTFVcSdGAM+/ogmKZSNDOcLFIq62Bh7nq9ImbLZZwHw1ztN3LrYsTFAqVy1ZaTtkAVVXoCrkYnstU/Xwb1dPg4f5UsipB+EwNsthUBU73hrk4GKmLEui9rT5G5zKUDYMdTR7cDhszyRyNHp10oUgmX+JX/vYuIbeDT73ci1JPDd3qiAS5hBBCCCFEXTnXH+GuRaZouR3WaCDcGnAyFjMvm+hIR6CuAlww/5jdn9x41lmpbPBWfwS3Q8MoGygKzzXarxd3rk/D9Wnawy4SiRw3HgeKwlNpul5uYTi/vqyd1+0lsAOPA1sPS9UdhDCcLzAcUDj9gV6ufe5RTSYwPunLdqYvbMkAzKmeEBcGq9ezqjXgrHqA71SvNTJUV6Iq4HPa8btsC7+XvLrGjdG3MwsfPZXx9+Rn4tE1vvN0d20Xu01ITy4hhBBCCFE3csUS/+XCMBeruHlbq1M9IaLp2pXsrCRfrH72ylKcNpUzfWEmE/VVrrev1cf9qSSR9OaDL+l8CU1VON0brsDKzBWJZBZlQtl1dd0BLjOdL+To7vbX9Jzn+iMcavdzujdEs0+v6bmXEnTbOdNb3QAXUPVphl0hF1eHzb/Or+Rwhx+PbiOWKTAceTvgl1xl8ALAp7/8kPGYdbMA65kEuYQQQgghRF2Yimf5xT+7zn+9NGL2UnDaVR5NJxmNWmOTYlbVy942H+f6I3VXqmfXKvuATSfzXBiIcKYvjMci2X2V4PObH7RZr4YOX83PeWMszvmBOWaSOQ621zbI9jSvQyNbKHGuBlMH70wkqvZct2sKsWyBXNGaqZF7Wrwc7vBzfTS+4WDf4GyaX/nbexVemQAJcgkhhBBCiDowncjx0398mb+4OmaJkrBsoczOZi8h9/NT5GrN77Jxx6TyTaUmhWGV96iCDcPtmsJIJE3ZeJzV0xGo2LHNpu8Jmr2EdbsYUDh4rPYTF2G+V1ehVMZR4SDqWu1t85OrYVZna8BZleOe6A4Rz1Q3U2yj2gJOyobB9dHNDzr40XfsqMCKxLMkyCWEEEIIISzv4uAcbz6KmDa2/mlHOgLsa53PFrFCT654psiJ7pAp5344XR+TFJ92ojtIqoJNswslgwMdb2fvvNUfqXimmBmOvdjBxXx9ZegBFAwDR7vHtPPfm0yyt7X22Vxuu8rFwbmavgkQcFU+yO932hiywCCNpXSFXQRcNh5MVSZI/pkrYxU5jlhMglxCCCGEEMLy3nw0a/YSgPmsnalEljsTCc4PzDFahall63WyO0g0U/u+Sd1hlyV6EK1HV9jFjdFYxY97dTjG3pa3y+TMLFmrlMhYEp9Wn9vFq0aRE+82r6n39dEYe1q8NT1nS8BV0/MBXB6Kcravcr3oNFWht8HDuIlDNJbSGXJxsjtEJl/izkTlAvu/8/qAJd642Wrq86olhBBCCCG2lWqVxazX8e4QExbqP+V1aEwkcqZMm2zw6DysYNlftdm1+eLKfKnym8pmn85Q5O3HQreZn+G3WUODMXxvzdDjML8kd73S5TKjHhUzwwcht6Om52vy1j7gbDCfuXioY/NB3WafToPHwbUqBKE3I+S2UyiWuTg0x0yyslNCE9kin781WdFjCglyCSGEEEKIOjA4a375Stjj4PpI1OxlLLK/3U9HwEl32F3T857oDjIYqZ8AV6vfSYvPyVCk8oMCFGW+bCvz1FTCaLqAWv8Vi0RmM7ROV3ZjXyuD+QInXu4w5dxnekMMztb49WHi8+3hVJIdjRsvET3dG2I6kWMqYZ03EJ7Y0ehlsorr+qNzQxhWaDS5hUiQSwghhBBCWN7/9N7d/P337qbRhGyFJ/xO26JAhhWcH5jj8lC0Kr1xVjIwmyKSqn2J5EZ1hJyMVHgS5pHOACd7QpzuCXN/anEJ093JhGl90iqtmKtc/7Jay4bNuV5cH43VPOPz5mjMtB6BmUJ5w9egfa0+zg/MmZp1t5TTvSG6wi4uDlV3UuVX7k3z/369v6rn2G4kyCWEEEIIISyv2e/k7793D9/4hXfxK99x1JSeRwG3HVWBFov0odrX6uNAm589rT4m4rXpYePVNU52h0hkrTn5bCk7Gj1cGYpW/LgOTaVUNjg3EFny61eHo/Q01DbDrhpuXZ3kxSQc0K3xvF+P28U8R19ox+m01eyce1q8pgTDU/kSB9rM6wXXv8HMNb/LjstunbCEw6Zyti/M+YE5hquQ+bmU3/rqI/7ZZ2/y1qPZhayuK8NRphLW6k1WL5T1pMYpivKLwMeAfUAGeB34h4Zh3H3qNssd8OcNw/hXaziHH4jFYjH8/vpv2CiEEEIIISrPMAxujsX56v1pvvFghm88qH5jekUBw4CzfWHe6l86sGEGp02lNeBkoAYlnad7Q5wfqG5mQ6Wd6g1xoUpr7gi5GJ1bfiO8r9XHHRP6pVXD8Zc7eNOL5TJu1mK/7uDRZ/prUtF3pje8bOCz2ry6Rjpfwoxe5i0+fcNlfWY+Zk+0B510Bt08mklWvPfWepzsCaGpCpcG53jfgRZ+85MnTVuL1cTjcQKBAEDAMIz4crdbb8j0HcBvAC8A7wNswN8qivJ0AW7bM//9IPPXwj9b57mEEEIIIYRYkqIoHOoI8OPv3MUf/vAL/OYnTnC6d/3lYe0BJy/uaFhTqc2T94Zr3mtnBT5dY0+Lr2abMiv0Rlu3Km34HTaVsHvl582diQS9DW5O94bY1+oj6LbTHnCys8lDo9dBR7D2E/E2QtUUbgTMbeS+GbdzeY6/WJv+XHMZ8wIkyVyJo51BU84d28SE11KNelL1NbrZ1ezFZV9c1rmr2UsyV+TcQMTUABfAxcE5zvVHKJYNrgxHKZasVSJfD9aVt2kYxgef/lhRlE8BU8BJ4KuPbzPxzG0+CnzJMIxHm1uqEEIIIYQQS/vQ4Tbes7+FX/zz60wlspzrj5Arvr05+K7TXby0q5Ff+/w9+mfmg1T7Wn381veeorvBzUwyx//xl7f5zNWxFUe6H+4IcGvMOtO/eho9NZtGdrDdz82xZd88t6Sg286d8eqs+XB7YE39egZm04uy7KIsDgaEPQ5yhRK5YgmnXSNXKBP2OOgMuUnli5bIBOvqDnC3zjfbql6bflXj0Sw7mzymTR5VTZp4kC2WaQs4GY+tr8Rub6uPi4PVzw7tDrsZnE1TNqAn7EJVVWyqQsjj4PLQHIUqTF3drPFYlj+7NMJ3nu42eyl1ZbPFyYHH/18yt1BRlBbgm4Hv3+R5hBBCCCGEWJHDpvIrHz8KwGQ8y7/5u/v86flh9rf5+RcfO4yiKDR6Hfzo718kni1yti9MV3g+k6bRq/Nr33mMf/jBffzq5+/ypxdGnjv+sa4g10eiWGkv9HQgr5o6gq66C3AB7GzyVmUD7XJoXKpQQ+pI6u3MkeTjJu+TidxC6dfuFi9Om8b1GgUzl5LdRJaOVUz7NZxOG9kq95NL5ookp4uc7AnVJHjzrLEKD1hYD7dDo9HrWHM21OGOwIrlvpXU4tcZiswHmwdr1GurEmr1+GwlGw5yKYqiAL8KfN0wjBvL3Oz7gQTw5yscRwee7mLo2+iahBBCCCGEAGjxO/k/v+0wP/raTorlMvN/usKJ7hC5Ypl//OEDfOql3oXPP9EacLJU5czRzgD3JuKWCnCd7A5xZSRak3ONRjOE3Hbm0vUV7NCqlNWSL5YJuR1E0tUvbbo/OT+5cW+Lj7JhPDfJsdoMoONYE4NGff3sn3U/l+dQj58Hd2vT++nOeByF2vcw8+q1a7L/rIfTKc70hplJrv4YH+8OcrkKAyGe1dPgJuRy1F0vwSc+/eWHvPFolt/85ElTpwvXk82MMfh/gCPAd69wmx8E/tAwjJVyFn8RiD313/NvmwkhhBBCCLEB3Q1udjR5Fz52aCr/5Udf5Ide6Vu2rOfnPrCX9oBz4ePeBjcPppKkTZiYthyf08ZgJLViaWWleXQbPhM30FZSKhsEV+nHVWl3JxPcn0qyr9XLoXY/dq02ZWkK0G+zUHR3E7KZ2k0FbfY7ax7g8jltFMwuK13D0zLscTBSg2yqrpCLyVi2Zm8GVEOxbHB+YI5P/Ie3iNXZmwxm2VCQS1GUXwc+ArzLMIwlg1KKorwK7AV+e5XD/Qvmyx6f/Ne5kTUJIYQQQgixGlVVOLJKY2bdpnGoI8CRzgCnekOMRjOk8qXaLHCNdjd7a94geWQuw97W+im6cNpVpuLr6w+0VqoC0RpkcS3lzkSSG2NxPLqNs31hQlUOtmmawnihdsGhatKdtQnSNnod+Gt0ridO9YQoloyaTFldyXKvC9vjNxX2t/lw2zWmkxubxLhWLoeGblfJ1qiku9ruTib47v/wJn9xZZS/uDLKVKI617atYF1BLmXe/wN8DHi3YRj9K9z8h4CLhmFcXemYhmHkDMOIP/mP+fJGIYQQQgghTBFw2/n333uSn33/Hpq8OrqtNg2r18rvspnWn8n0LJF1KBvVmwZ5sD1AxOSsimi6wFv9EXKFEmf6wlU7T0urd/Ub1Qn/zsDqN6oAj27DYVNx1Cjb7nRviP6ZFJmCucH4sNvOvcnny2ndDg2PrvHCjjD90ylGatA37FC7nwdT1pmEWwm3xuP8zB9f4R/9txvMmjwF0srWm8n1G8Ange8BEoqitD7+b9HsW0VR/MB3sHoWlxBCCCGEEJajKAqv7WnmNz95ksv/5H18y9H258bOmyWeKeK0qVXrN7USm7aZbie11dfgqVq5mMthncchXShzbThalUCXokLgRFPFj2sWJVebIO3gbJrzA3Mc6wrW5HzZQpnZlPlBj0i6QHfYzcF2PzCfcbqzycOhjgDZQonB2RRBt6Oqa+hr9HC0M1C3PbjW4uc/uJf9bX6zl2FZ682h/LHH///yM5//FPC7T338XcxX4/7RhlYlhBBCCCGERdg1lX/+0UP87Pv38LX7M6TzReKZIqoCX7k3zdWR2mdVeZ12Ernal6s8mq5t0/PNqG7PrNoHGFeSLZY51x/hUIefVK5E/0xlMliOvdzJG/nqlpXV0uv2Ij1tHibHa5Tho1T/eXK6N8QFE6Y4LufJBMMjnQHyxTL3J5I8nJ5/vMdjORTgeFeQy8PRqpzf7VBNuSbXSqvfySfP9pi9DEtbV5DLMIw1vUoNw/gt4Lc2tCIhhBBCCCEsJuC2E3Db6WnwLPr8//S+PZwfmOMP3hykVDb4y+vjtVmPy854rPZBrr5GD3M1mIhWCZNV6scF843nGzwOS2TPPO3GaBxNgcMdgXWVtB5/tZO5kJ2EYZApl9EUBaeicC6/9Rpdt+8K1S7IVQO5QnnJibBmu7ZMoMkALg9HOdTuZy5dYLSCpYudIRc3x7Z29yPdri47NEXMk/EoQgghhBBCbJCiKJzpCy+UijV95ia/+/pA1c/rq3FT6ydsqnXK9FbS1+ipWDbTUi4OznG8K2i5IBdAyZgP8O1s8ixk0CzH6bSx791dvFHKQ85696UaDF/tpmJWOxSxr9XHrfF4lc9SHTfG4pzpC1U0yNURdDEyV/1+X2ba1bR1euRVS338lhJCCCGEEKIO/OwH9tIecFb9PJcG59hnwqTDVN76U/ZqleRgt1l3KzWVyDGXKrC3xbsw1e5pHq+d3R/ZQendbbxZ2h7BrSe0bG2aswfddgZnq5sxdncigdthjV6BG1PZF6sB1KjXv2n6Z1Lkitaa9ms11r0yCyGEEEIIUWe8uo3ve6m3yufQaPY7TclY0C0c2Hmi0atXNYvriXTO2gG/SDrP3ckkR7uC2J/Z+bd3+rmey5Goo2mZlZKP1yao19PgZiJevX5mXSEXJ3tDxLPWfh6upFSubJ3luf4IR7uCOOvgOrVRj2ZS/F9/fafij91WsnV/+kIIIYQQQpjAq1e3lDCZK9EVdj0XuKi2oNvOgylrN55XFehtcNfkXLmiOQEij0Nb1yTFi4NzNHgc7Gya7yfn8dhx7wxUa3mWZ2+ofqYlQLnKQYgGr85YBUv9as3r0KpyPbk0FCXkcdDq1yt+bKv4nW8M8L/8+XWzl2FZEuQSQgghhBCiQh5MJfgnf3Gj6uc51z+H21Hbvlw9Ybfls0Y6gi5ujdWmR1EmX/uSIbddpafBTcJmEAiufRM/Ec+hqQpHX2gn/VoLbxW3zsTE9cpOpqt+DlUBp72yZYQG4HbbOfZiByfe3UNENegM1iagWw3JfKlq2UiqqtAWdFXl2FbxJxeGuWihqZpWIkEuIYQQQgghKqRUhlpUkfh0DW8Nm8/vavZydZlpaVbSFnSRrEHw6UR3sKrTG5ezvy3ArfEEJZvG3AtNnHiti7U+3RLZIo8a7WS2eZmTvcqZlgCne8OcH9h8AMIAUKB3RxD/h3uIvNrMm3543V5k9lCAAvVdbnqw3V+V4zZ7HVyukymwm/Ev//sds5dgSRLkEkIIIYQQokKCbjuf/sQJfuFD+/iu013sb6vOJi5XLNe0J9TQbIpGr6Nm59uoslGbAM7ATJpCjYNFp3pCXByaD5w8uj/LqYzCYEDj5Af7Vv3eE+/swh7SiUnDaiIt1S9ji2cLG/o+5fHu3OO143Co7PvIDrLv7+DObg/ThcWv99liCW1vcM1BTiu6NRarStm1SZXENddTo9LsemPO7GEhhBBCCCG2oBa/k2863AbAdCLHV+5N87P/5WrFz5MvGbQFXQzXqPl8vmTQ6NWZSVp7El+pVP0tf1fYxXCk9r2Q1KemJBaLBpe+Mkx7h4/bx0Kc+GAvQxemKJcNIo/XpqhQLkN3t5/X9TLs9cImg4AvJhUKmQKlQhlXm4eUU+Vqrr5KHx/l8tio7Fy/UEintTvAnetTHOwLM/i415TNptDS5mV0OLHs9+492Mij+xEOv9RJ1G/DW4ZBSuTLZe4UVn69fZ0CL72vh0ufH6zgvakdVVWqkvmq1WrEqsl+8JXVA9zbkQS5hBBCCCGEqAJNVfjM1bGqHNvvsjGXqm3AyV/D8siN8DltDM9Vv99Si99pSpBrqcy9sdEEx7r9pJpsjJwM0avb2T+Q4s6NafZ98w5uFvI8rFB2235d5/rf9VMsPj7e9WkA2kI67a90cDFfH8GuEnD8eAs3Lk+u+3ttNoVQyEU0mqVUNtAdGp09Ae70uhg3DBxtnVwwDNjl4rA+nzHmjeSXDHLt3tfAzC4vY4C9183rxRLk1p9pd9E2/z31GNZJZouEPI6KBs+7w26uDEcrdjyr2tnkYU+zz+xlWJK1f1MJIYQQQghRp8IeB//x+0/x2WtjDEcyXBqaI5ouMJvKMR7NUtxgCoNuU2gP1H664lis9j2o1sOhqTXJNKtWs+zVeJbpJXXljVGaWzy8fKiRG1qZgTYHLzf3UCoZ5CtYvunsT7wd4HrK3FyOyGcfcfZsOw8abczWQUlkrMsNl9d223DYRc/ZVhJ2hRu5HEnAoSjoqoKiKDwqGxTK8/VxTz/e1x9nuDUHbRz7pj4GXh8jlyvR2RPAtTPAuWIOCpsvOc6VDXwOlUK+/mr0TvaEOTcQqegxm306Q5HqB7vN9nA6xeeuj/ORo+1mL8VyJMglhBBCCCFEldg0lW873vnc55O5Iv/+Kw/50wvDTMbXlwGjoOB32TnXX9nN4WqavA5GalQeuV7tQSdj0doE4VSTcmZmU8s/T6YmU0xNpmhp83DwSBPXHCVsyvIBria7jV40SgpMUmY0v3IPKbuicOv69LL3XAGuvjWGw6Fy5mgLdp8do2xQ8No5X7BehpcbhRPv7+XS5wdYrqnV3oONOHv9PKTIG8U8PHU38oZBfo2lsVOFIlOA56Vm9qt2LhRyUMHpli5VqUmZbjXkiiVO94Yolg1UFCYT2U1fY5R6TGnboP/5T68wMJPi46e6aA04zV6OZShGjZozrpWiKH4gFovF8Pur06hTCCGEEEIIs2TyJT53bYz/9MYg10c3NrHwSEeAG2Oxmkxy3N/mw2XXiGeLPHjca8hK7JpCq99Zk/5kIbedfLFMqgYTHJ9lU8HrtBNNr97UvLHRTWuXjwftOtGnMqs04HQcLr8xuhCwUjWFHbtC+HYEyNsUbGUDrWQwYp9vbp4ql3kpp3Hpy0PrXvOJD/TyOhtrwl4LZ206+ZEkD27PLMqEsjtUEu9qM3Fla3dc15n54ijRdH7ZYQhhj4NIjcubN+pYV3BD5YY2VWFvq498qcz9Setdp6qpO+zmsz/5CgG33eylVFU8HicQCAAEDMOIL3c7yeQSQgghhBCiRn75b+7y5XtT3BqLLxugCnscNHl1ehvdDM6muTORIOCyE3LbSWSLzKbyoEBnyF3VspwWn053g5sLg3Ob7Ve+KR870YFu0/jj80NLrmN/q597k8s39q6kfLHMnlYfAzMpcoUS6ULtSsSKZdjd7OX8wNyqt52ZSTMzk6Y3FiS310umbNDlsOO+EeVKf3RRRla5ZPDgbgTuPp8Z6A84OHK4mdEHsxtac2okCZ3Vn2a4UW8Vc9Bq50hPL95sGUNTUMoGM7pCImf9oNDLBY3bXxsmnS6wt9XHdDxL5Jkg6JHOAPcnkxzvDhJNF+ifSS18zevQ2Nnsxa6p3JtKbLjkV2HZhLgFB9r8jMcydDe4uTq8fHA/Xyyxo9HDo6fWuRLdpnKg3U8yV+Tm2LJxjy1tKJLmc9fH+MTZHrOXYgmSySWEEEIIIUSNfMe/e33ZIEV32M0vfmgfx7qDtAVcABiGwZ2JBM0+nQbvfLBgLJohksrT4HHQ5NP53dcH+Od/ebtia7SrCsd7QpwfiJga3AL47jPd/J/fdghFUfju33qTNx4tDrYcaPNxa7w2Aa5nnekL17xk9GRPiIuDqwe5nnboZCvFdjejXx4hkaht4MYA+nYEmd7vr4teXfUkoKlk/2r4uRLSfa0+fE4b8UwR3a5ybWRxQOl0b4hS2SCSyjMazVB4XOrocmi0B5xEUnnmVskW9Dlt9DV6iKXzNPud3J1IsK/VTzJXoGwYRNMFphLzJZn723yoisL10bcDULpNIbdEf7cnvLpGrlheWBvMD/J4uh9ee9BJk1dnYDZFLLP53mb1zqYq/OvvOsaHj2zdHl2SySWEEEIIIYSFJHPF55rN+3QbiVyRoNtONJ3npZ2Ni0pOFEVhf9viN37bgy7ag66Fj+2aWtF1Hujw1zx4Y9cU3neghUuDUSbi8721PnCwhX/+rfMBLpjP6Ho2yLVcM/ZayJpQsnhvIo5dUxZt/ldz4+IEXKziolagAAOPopzo9nPfa2O6Ao3WxbyAprFUZ687EysHfZcLsmfyJR5OpzjQ5ls1yLW3xceFx8HWwceTRp9uIN8VcnGsK8jdiQTDkQzx7OKf+7GuELOpPAGXHQW4OR5Ht6mUSgb72nwMzqY50uklmi6QKZTwO+30zybJ5EuE3A5CbgfTyRxXRzZW7r0VFcsG0wnr9b8zgwS5hBBCCCGEqIHZZI6Pn+piV5OXayMx+mdTfOrlXjpCLt5/oJXxWHZDPVX611jWs1YOTcXj0Grad+rDR9r51Y8f5T+9McgfvDnI//z+PXzgYOtCgAvgQ4fbeOPhLF+6O7WwCVdM7DIdSde+nC2RK3GgzcdMMr+QKVMPLn15CE1TUN/bTv3NALQmv6IyVYXj3hpPcLgjQKFUJpYpMP7MVNWesGvVXoLDc5kVe+S9tUQQPfP4evMkCPf089vntLG/1ce5gTmmErm6eu7Xim5TTQ36W4k8CkIIIYQQQtRAT4OHngYP332mG4BS2UABVHU+UBPyODZ03HypsmGD8wNznO4Nran302Ypynwm2oePtKEoCu8/2ML3vtCz8Jg8zavb+NXvPEapbHBjNMYX70xxYaC2GWdPS+XMyUq6NZ7gdG+o7jb6xZLBC4qDCxTIm10HuwX4M9ULQj8JYqkKnO0LMx7L0hZwUiiVuTkWJ1esbagykS1yYbB216V61OjV+eixrVuquB4S5BJCCCGEEMIE2hKBnI3oa/BU5DhP2FWFeJV73GiqQlfIRUfIxb/9ruN4nfPbkie9yFb73qNdQY52BQH46r1p/sVf3+H2eG2bTvc0uJlL175cyqaypgmLVqMAd782wv7eIFc75wO6KuBSVVJlye9ajza7jZufH6n6ecoG3BqLk84XqzrkYq1rOT8wx8F2P7pN5dJQ1NT1WI3fZcdR4dL1eiWPghBCCCGEEHVsZK5ym8+eBjcGcLfK0wr/j289xBf/53fyb77rOA1eHd2mbfhYr+1p4i9/6hX+3SdP0Op3VnCVK3NsYs2b0RX2cH8qacq5NyuVKjDcH+WsTeeEQ2fXnSTG347Q7pDci/VoUzRyudqUE+9q9rKOFnBVd3MszqWhKMe6gvic8rx54vZ4nN99fcDsZViCBLmEEEIIIYSoU0Ozaf6/K2MVOdauZg+Ds+nnmuNX2o+9cyffdaYbVVVofDwxcrNUVeGDh9r4i598mePdwYocczVmdQMbmk3RFV49482q0ukCV//yEbc++4ihwRilkoFm2qNZnyI17GxmYtu7FV0ZjrKn2Wf2MixlM28WbCUS5BJCCCGEEKIOxbMFfvKPLhHLVKZ0zVPFbJrg44b6HzrUys+9f2/VztPid/InP/IiL+9qqNo5nihVORi47HmNtZV11hMpV1wft1K7bbyV26cNz6XZ1ew1exmW8aufv0s8W3+lzJUm+X1CCCGEEELUoT+/OMK1kcr0hDrY7uNqhY71rF/40D5+5NUdxDIFXA5tyabyleSwqfyjbzrAh3/9a1QrDuVxaFwfjVbn4GswU2dN51ey90AjD0wKGNYjp6pQuDpTk3MdbPdzdSRak3NtxFQiV/XM03oyk8wTSxfwO9c/pXcrkUwuIYQQQggh6tA79zZXrNGwy169977fu78FVVUIeRw47bUppznQ7md3FUuZWgNOckXzNte5Ck/UNIsBFHb5SUsm15od1hwMD1Z/yEKzTyeVK1YtUFwpIff2Duj0hN1oT71vUKkS8HomQS4hhBBCCCHqUHvQRaPXUZFjjccyFe1ldaY3zOd+6hV+6JU+usPuih13Pb7nbHfVjh1wmbuxTmarO/2yFkIhnQPfsoPbua2TlVZtCjB7aarq57GpCn6XnYFZcycqrkWDZ2sHdU50Bznc4V/264lsgZO94YWPrZx5VysS5BJCCCGEEKIOOWwq/+mHzvDq7sZNH2s0muXyUJQzT22WlnO0M8CruxtRFfDqtucaU4c9Dj54qJVDHQH+8YcP4LCZs+X4thMdVTu2YmI37tO9oYr1YTNT39l2LufnA1x+TaW1itmEW8VO3cHYWPUna57sCfGgTiZ4Xh2JcqYvRIvPmsEu5waufy0+nUavA7/LxlAkTWqFSZoNPp3xWGbh4/9+Y2JD69xK5EoihBBCCCFEndrV7OPnPrCXr92vTI+eqUR2xa/rNpVPf/IkHUEXFwYiuB02HDaVX/6bu7z+cIZ/9R1Hed/j8kSzOas0aUxTFcomduPOFpbf8NaLA20+xi9OcuyFVooKxN+cxB/Sad4bZLJcYrJQ/5lq1dCcMRipwXlmU/kanKUycsUy5/rnaPQ6aAs4GY+tfA2rpd4GN00+nfMDc+v7vkYPw3NpQm4H96eSeBzLX8v8Tjv90ylOdAe5NRbn/EAEwzBMDcSbTYJcQgghhBBC1LHpCjUhb/LqNHp1JuM5MksEUhq9Or/2nUfpCM5P9jv1VNbXv/vekxRLZWwV6hFWCVqVAm3HuoJcHFzfprWS9CoF72rJadcYH08w/tlHC5+bnkmhPJhj3zf1MYkEuZ7V7bBz6XMDNTlXoVh/gdRMvkROtVZvt2a/k2yhRG+Dm9lUnsTjMuMGj2MhkNgW0BmPLb6Gz6byjEXfDta1+F0MRjKLbuNxaKTyJeKZAsWywaWhKC67xs2xOCNzGbpMKhO3Auv8FhJCCCGEEEKs2zv3NrOvdfNN1qeTOS4MznGkM/Dc1z79iROc+1/ew6u7m5b9fisFuAD6Z1JVOe7TpUFmMDGJrGKWCkAaZWhscHO3VP+lmNXQNpWf79RfAy1+Z21OVEGHOgILQSTrMLg+GkNVFdK5+bW1+HR2Nntx21VO94boDC0ORnkd2nOlos8mZfl0jV3NXjqDLh49dZ178ubE9dHqTMqtF9b6TSSEEEIIIYRYF01V+IMfPovf+XaRRsBlJ+zZWFP6yXiWkNuO7/HxXtvTxDcdbrNECeJ63Jmo/AS6wx2BRRkWZrg+GmVvBYKaZloqGOHx2EmfbiBVZ5MjTzp0jjmq2w9ql+7g6rmxqp7jaXcnk4TdlRlqUQsH2ny81R8xexmLnOkNcWFgDsOAR9Mpdj2e9up327k0OEehbHB+YI5UrsjB9rdfz72NnlWPvafFz3Qyx2QiS2mJ8Zd1dqmuOClXFEIIIYQQos41enX+/Mdf4gu3pzjTF+ZYZxBFgdFohr+4MsbvfKOfmeTKfXaafTohjwMF+P6XevnYiU7+6vo4Hz7SVps7UWFXh6MVO5amKhxo83G3CoGz9cqXDEzq5V8Rdk0hkV2crWUAve/u4mK+viYtvoSdy3/5iD37m6BzY0GhkE1jboXyQLuioFyZrVkWF0AsU+BYV4BIuj56cymKws4mDw+nU+xt8XJ30vym+ecG5vA5bQsBXVUFTZnva1h8KjB1azxBwGVnR6OHRzMpdPvz5cgzybdfF36XjYl4dsVge1+jt4L3pP5IkEsIIYQQQogtYFezbyFb4InOkJufeNcufuJdu0jni0zEssQyBVK5EtFMnrFohi/fnebNR7N0BF1cHo7yv3/0IN/7Yi8A332m24R7Uhk3xyoXkAq57VwfNT/A9cTdiQSnekJkiyVuWGhda1EoGXj0xdvQwydbuVBnAS6AUjSPUQZvmxs20EfsgO5g6K8GePHFDi56oGgYnNHmA81KyYCyQXI0xb2h2v+MrwzHCLsddRHoujkWp9XvpCPoIuzRAfODXAA7m7xceRxsj2eKtAZdS/ZQjGUKtAednOkNc37w+Yy0h9MpDnX4uTMeZ1eTl0tD0RXPuxWGU2yGBLmEEEIIIYTYBtwOGzuann+H/0de28kX70zyB28O8b98076FAFe9O94d5PWHsxU5Vr5YttTktmIZLjxufr+72cv9KWts6tdKfabJkM2h8aLq4BIFckuUX1mV5prPurl/bpzwq61E1tGwXQWcQymKRYPLXxuhrc1DS6efK+f7q7Ta9Uvl66c/2kQ8S0fIxaPpJA5NIV8y93m0s8nDrfG3g5Oj0ZV7+Q3MpimWysv23Ls3mSTs0VcNcAELpebb1fa+90IIIYQQQgjeva+Fd+9rMXsZFbW/zV+xY8WzRQIue8WOV0lBtzXXtZS+RjcOTeXORGLR56+8MQrA/kNNXOmoj15QAU0lNT0f9IzH8/TcjOE7HGIwX8CmQI/DwcPc8llQZxUHl6+MLnw8OZ5icrw6wxI2osmnUyqVyRXrJ9DV7NW5PBzlTF+Ycyb36Grw6DycXvvPM5NfOUCaL5aZWsMkXUUBv0WvVbVSx9XcQgghhBBCCLG0v74+UdHjRdMFSzZ0Hpkzd9rjepTLrNgvyeaon+3pwazC3ZvTCx8PDsSY+5shTkwUCH1jmtHP9HNymYb0AU2lMJWu1VI3pDvkIpKunwCXokCxPD+04NLgHD1hl2lrcWgKmHSt6G3w0Oit7iAEq6ufq4gQQgghhBBCrEE6X1zohVMpiVyRkz2hih6zEsZjWdoDTrOXsardzV4GIysHdtQ66aj/EnYufXHouc/n82VuXZ0ikZjP4NLjSweJ+oaz3Lg0WdU1bkZvg5urI1Gzl7FmzT6d/a2+hb55xbJBk6/2rwlVgWNdAVRV4fyAOZlkRzoDppzXSurjKiKEEEIIIYQQa1QoGUzEK98/SzErPWMVjjoIDqXyReyrpMJdvzDOS4q1S61OOHQu/s3Amm57/fVRXmLx/fFqKrevTy/zHeZr8c9PWS2WzV7J2pztCxNJ5bg1vrgEtrRcc6sqOtYV5MpwjGxh+d5a1fbCjgZzTmwh1r8aCiGEEEIIIcQ6DM2mKVW4gbmiwJ1Ja04yHJhNc6I7aPYyVjQWzeJbpVeQUYaRy9PYKhBL9GgqJx06L6YUDulLl28pwEmHzuHBLEd1nZMOnY6LEc5GDVxPBeTCNo0jwzmOjeaZ+Mb4mkOdhUKZi38zQNg236B+n+7gTFa1aKh0Xsjt4PIamptbxZ2J+JIBuXvP9H2rhVSuRJPPvFLBwx0BvvVYh2nntwppPC+EEEIIIYTYUuLZyvcSavLqa2r8bBa7Zv38hZDbTiS1fDN2gNmZND6tgbk1TCrcr+sMFQqkym9HOXbqDib+cgADuPl4wt7RF9ohsDi0dFTXKd6JcvPe4+bvd96exDk7k+HIh3dwrjz/896p2Lh+a2Ytd/E5CtCgaewrqFz9ywEaO4MbOk4tNPt0Bmas0/x+NTZVIZYpLvm13kYPN8dqG5S+O5ngVG+IaROuEzZV4de/+zguh1bzc1uN9a+EQgghhBBCCLEO8Uzlg1y5Yhmf07o5Avk1BIXMtpaG2KWSQc9QhpeLNl7KzW/YwzYNBThrc/BiSsGjqThVhcTrExzQ3s4Oa7RpKFdmKZUMyqW3M/muvjXGi2kFj6pyzKGz926Su595xMN7y/dNsqWLhGwaL2VUrn/u0cbvNBD/6hgX/3aAUsngmoV7XfU2esjWS50iEPYsP4kzksqzr9VXk6w5BTjeFeRoZwBNMSdP78WdDfQ2ekw5t9VY9yothBBCCCGEEBtQjUyuWKbAqd4QFwbmKn7sSng0k0K3qeQsHKRY68/lzuOeVYoKL73SycWvDnHyRCtXL/UDcOhkK6lolv6ZNOU3xnnxTCsJu0Lp1hz9Q0tk7xhw+WsjnHx3Nxf/em0Bq9Fbs3iKBpdmNj8FMRbNLQRbFAU0Val4OW0lFErWfe4sJeCyL5tdOR7LMh7LsqvZS7ZQWtMU0u6wC1BI54v0NXq4N5lYlCl2qidELFNgIp5FUxX2tPiIZQo8mk5y+fGgi8Md5jR+16w4+tUkEuQSQgghhBBCbCnVKt27MDDHnhYvo3MZUnlrZU7FMkUOdwS4PhozeynL8urr234aZbj01REU4MaliYXP37j49r8jsxkif92/puNd/srwms89OVGdsr1D7QEuWrDnVdBtZ3iV6ZdWs5bSvAdTSWC+Qf1b/ctn7p3sDnFtNErhcQbgTDLP7mYvsUxy4TalssHD6SQtfifjsSznljieWa+/sHv5rLbtRoJcQgghhBBCiC2lmtMG700m6W1wk5q1VkDArircHrdmY3yY/5mYXar3dAmjWWZX6Ulmlt3NXs5bNEtxOfl1ZC2+1R/heFeQZL7I/cnkoq+F3XaujkQpPpNdd38qyZm+MNlCiVK5jF1TKRvzWWJW84FDrWYvwTIkyCWEEEIIIYTYUk73hgm67UTTlS9bPNMXXjKDw2wlw0AxqR/QWvSE3dyfSq5+wy0u5HEwYKEAaU+Dmxafzrk6C3B1hV3cWecExSclhce7ggv/Bgi6HUSWuVY8/VoPrDId1EzZgrUyS80kjeeFEEIIIYQQW0qL38l//dGX8FehUfxELLtiw+uV9Da4+fXvPs6Xfvad/K/fvJ9XdzeiVyDrrDvsYneLz5J9np6QnkHzP//LFitVrMcAF0Cb37Xh7708HKXJpxP2ODjQ5l9zdl2sCgMtKmUtQx22C8nkEkIIIYQQQmw5qgLxbHH1G67TUCSNd5VeQDubPPzCh/YzMpdmYCbFTDKPTVP4tY8fQ30c7PnhV3fww6/uoFgqMzCb4ndfH+AP3hxa93q8uobbYVt3VkutlQzrBuBqocWnE3TbYdbslSyWqdcMoE3GTKcfN6yPWLR8dL2CbutmmdWaBLmEEEIIIYQQW05HyMUruxr5+oOZih0z5Lbj0FQml5no1tvg5p999BBn+8I47as3xQawaSq7mn383Pv3cXs8wcXBtWfVnO4NcXUkZvkAF1CV0tF6oSqgqApXhq03FGCtz1OrMbZ50PRZfqcEuZ6QckUhhBBCCCHElqPbND79yRMc7QpW5Hgnu0Mks8VlA1wA3/9SL+/Y07ShwEHAbee//uiL/IfvO8WeFu+Kt9VtCkG3nXi2uK7m22YqlsrYte1ZstgedDFhwWblAFdHYjT76q/U7c54gl3NHrOXYQmne0O0BpxmL8MyJMglhBBCCCGE2JL8Tjt/8iMv8LufOs079jRt6Bhe3caZvjDXR6MUVul5FXJvrFfXE4qi8L4DLfz1z7zGr33nUQ53BJ67jW5TsKkqqVyRu3WQwfXEXLpAUx0GUyqhzcIBiHyxTF9j/QWLErkiymZrFreI490h7JqEdp6QckUhhBBCCCHEluW0a7xzbzOv7W7is9fGeKs/wpWhKLfG46t+b0fQRYtfX/M0xdFoZrPLBeabtH/b8U6+9VgHl4ejXBqcI54p8MW7U9wYjXO0L2DJCY+raQ+4GItaM6OpWlx2daH/k1VdGpqjt8FtqamPa/FwOoldUyiUtmfp4o4mD596qZdvOdpu9lIsRYJcQgghhBBCiC1PVRU+eqyDjx7rACBbKPFH54b4Z5+9tez3tAWcXFhjj6yPHG3nB1/uq8han1AUhRPdIU50hwDwu+zcGI1TrvAUxUavA01VyBXLxDMFqjWkMZmr/CAAq9vf5ueSxSYqPqtQMrBXYMpnrZUNaHQ7mLJ4ELFafukjh3hld6PZy7AcCXIJIYQQQgghth2nXeO9+1v4F399Z8m+Vse7g9xeQ7bXtx3vIF8qs6fFi2uVqYubFU0XcNpU7k8leWVXI/tafYzHsuSKJYYjGe5OLl2+GHLb+fipLry6ja6wm7Jh8PUHM4xEMvwPr+3gvfubUZT50q9socRb/RE+9TvnKh7sqtcm55txaSjKvlafpYcDOO0qsTodDGDbpn3eAMKezZVHb1US5BJCCCGEEEJsS11hN7/zA6f54d+7QKZQ4pMvdPPKrkYeTqf4yt0pUvnSst/7fS/2cKgjwMdPddVsvV+8M8X/+I6dnN0R5qWdizM4fu3z95YMcikK/MKH9vGdp7sXff5jJzqXPIfTrvFoOlmVbC51m8YjdItnSR1qD6w5Y9FKTvaE1jWNdCvRbWpd9lKrBQlyCSGEEEIIIbatl3c18kc/8gJ/e3OCl3Y2LpT/9E+nODfw/AZ6T4uXf/zhA5zta8BR4+DFZ3/qFbRlIkUfPtLGv/m7+899/n98bedzAa7VfOrlPr79ZCeDs2m+dn+Gv701weUKlNxFUvlNH6MeLfczs4LeBjfXRqJmL2NDYunt+Xzy6ja+8A/eUfXM0XolQS4hhBBCCCHEtnasK8ixruCiz733QAv/9dLIos+9sCPMJ8728OrujU1q3KyVgiU2TeWn372Lr96f4cpwFIDdzV5+4UP7NnQun9POoY4AhzoC/Ng7dzKVyPJ3t6f4/K1Jvnhnat3HUxQIuOwbWku9m0laNxjT7HfWXcN5gAaPgwfTKbOXYYpkrohblwDXciTIJYQQQgghhBDPaPLpiz62awr/z/ecoNGrL/Md5upr9PAP3r+Xf/D+vfx/l0fpbfSwr9VXseM3+5x895lujnQGNhTk2t3s5epIrGLrqRdht52hyPJBJFWBF3c2EM8UiWUKTCdyZArLl8lWWqWHGNSKV9eY3Z4xLnoa3Ph0CeUsRx4ZIYQQQgghhHhKsVTmn/zFDQBcdo0feW0Hx7uDlg1wPetbj3dU7dg7m7z86seP8sfnhznXH1nT9+xo9PBwKlm1NVlZJF3gaGdg2QBfi9/JH/7wCwsf/8ev9/NLn1t+4mel1eNkwrDHjsO2fTOZdjf7FgZFiOdJkEsIIYQQQgghnnJhcI5b43HcDo3f+8EznO4Nm70ky3DaNT52opOPnejk0XSSP7kwzF9dH2c4kln2exp9Dh7NbNO0G+DaSIwWv85k/PmAUovfuejjoLu2JZ3uOuzrFEkV6Ai6zF5GzdlUhXfubeZUb8jspViaBLmEEEIIIYQQ4ik7mjz85U+9is9poyvsNns5lrWjycsvfmg/v/ih/UwnclwamuPr92f4w7cGF01nLJTqsySuUk71hpadXri/zb/o41SuWIslLbByU/yVqHW67s345As9fOJsN7tbKleGvBVJkEsIIYQQQgghntLsc9Lsc65+Q7GgyafzgYOtfOBgKx891s7P/PEVRqPz2V2JbG0DN1ahAGf6wry1TFlns0/n5z+wd9Hn0vna9eNq9Dron67PMlKbUtvJpmZrDzgxDEMCXGuwvZ4ZQgghhBBCCCGq6lRvmL/66Vf59pOdtAedZGsYuLGSlQJcAP/3tx8h5HEs+lytMqt2N3uJpQukC+WanK/SCuX6XPdGnd3RwE+9Z7fZy6gLEuQSQgghhBBCCFFRAbedX/6Oo/zydxydT2naZtqDzmVLFAG+52w379rb/Nzn7Vr1t+hHOgLMpfMU6nSyIsDt8bjZS6ip/35jguEVpnSKt0m5ohBCCCGEEEKIqnhpZyN/8RMv86cXRrgzEcfntPH3TnTy2avj/M3NiYWSxq3kTF+YW2NxSssEkTpDLv7RN+1f8ms9DdXtAeewqYxGM8ym8lU9T7Ud6ghweShq9jJqwmlX+cjRdva1+le/sZAglxBCCCGEEEKI6mnw6vzYO3cu+tzx7hD/8EN7+d7fPse5geVL+urFgTYfTrvG8FyGcyuUKKoK/OKH9uPRl96Kv2NPEz0NbgZnq5O1c6QjwKWh5TPM6oVd3T5FaQ0enW852o6rDidhmmH7PDOEEEIIIYQQQliGbtP4l99+xOxlbNreFi/3p5JcGooyncgt+prvcTCrwePgZ96zm2/8wrv55iNtyx5LURRe3NFQlXV2hFwMR9LUcZXigpKxBe7EGo1GM1xcofRVLCaZXEIIIYQQQgghTNHT4OYTZ7v5w7eGzF7KhqjK/PTIQmk+6PLdZ7oJue18y9F2/vuNCT5+uguvw4ZuV3Ha15aJc7gzwB+fH674WjuCTm6NbY1eVrVq0G8Fdk2hK+wyexl1Q4JcQgghhBBCCCFMoSgKp3vDdRvkOt07P0HxVz9+lFd2N9Lk1VGU+QDM/raN9VDa3eyr5BIXxNJFkrntOemynv3SRw/xsROdZi+jbki5ohBCCCGEEEII03zr8Q7+Xp1u4gulMgAv72qk2edcCHBtRnvQueljbHVPHvetrq/Rw77W6gQ9tyoJcgkhhBBCCCGEMNUPvtJLs083exnr0urXiaTyuOxaRdfe4ndWpRxPt22d7f9wJI3ftfUL0/pnUvwP/+mi2cuoK1vnWS6EEEIIIYQQoi4dbA/w//3Ey/wf33aIH33HTva0eM1e0qqCbgcDs2kUBSrZB92uqbQFKp/NlSlunVLFmWSeXU3Wf45UQjxTYGAmZfYy6sbWD30KIYQQQgghhLC89qCLT5ztAeAffnAvN8fi/NX1cb5we5J7k0mTV/e2n3nPbg62+3E5NPxOOz5n5bfVnSEXI3OZih3PrilMRCt3PCuoQGXohvU2uBmYTdfkXPlSmc/fmuR/eG1HTc5X7yTIJYQQQgghhBDCUhRF4VBHgEMdAX7+g/v4tc/f49/83X2zl4WqwCde6KbZV92+WZ0hNxCp2PHaAi6G/v/27jxKrrLM4/j36U53ks7SSZN0ErIQIGRRCSEBYsIaQAbFFR1XZBEG3EUZZUZ0wNERHY4S57ihoiDHBUUEVBBQEUSEAQTGMCRxEpaQECAJWUhI0ul+54+qQPauSlfdyi2+n3P6JF313qrnVD/n1q1f3fe9K7IJZbJSybPnyvWVtx/E3QtXcMnN86r+XBFw5PghVX+eeuF0RUmSJEnSHu3wcXvGh/yuBHOfWlP15xk9uKWijze8CtMfa+2vT6xk+r5tmT7n0eOH8v3TD+Hg0YP50KxxHDp2cNWfc1DfJn50dz6vPloLhlySJEmSpD3auPb+fOTYcey9B4Q185ZWP+Tad2i/ij7exjpaj2tLlbjK4geO2Z+vvXPKLgOz3r0auOKMQ7nyfYdx7MRhNBQvDHD6zH17/Pzd2W9of06aPKLqz1MvnK4oSZIkSdqjtfVr5rwTJvChWeP4y4Ll/H7u09w291kWl7nO1AHt/Wnt28R9jz9X8jaDWppYua6DyaNa+fCscUweNajM6stX6UXVH16ymqaGoKOrhnP8qqChhwtzNfdq4NiJ7Rw6to03TRnJX594jk9f+zfmbhNkvm3aKI6Z0L7d9ie8chht/ZpZsXZjj+rYmabG4OvvPpgRrX2r8vj1yJBLkiRJkpQLfZoamTWxnVkT20kpsXDZWu6Y/yx//r9lPLhoFcue37DL7U+dsQ/vnTGWhxat5Mq7HuPX//MUG3dxNtDE4QO4+pwZzFm8ilfvtxeNDdmsdr7f0H40NgSdFQqlOjpTVcOYWrnv8eeYMnoQT618gafX7Ppvv61BLU2cd8IEDh370hlcU8cM5upzZvD+q+7nLwuXv3j73QuX09HZRVPjS5PhUkrM/t38qr6mHZ2Ja+57ko8cd0DVnqPeRKrlam07EBEDgVWrVq1i4MCBtS5HkiRJkpQDt817hjN+cO9O77/gdZM4/fCxWwUVq9Z1cNOcp7jlf5/mrgXLWN/xUuD1zfdM5cCRrYxuq+z6WKW65eGlfOynD/JCR8+nGrY0N7JuY31OWQSYvm8b9zxa3kL9Q/o3c+8FxxM7OBvsoUUredM3/gzAhGED+NSJEzhu0rCtxnR0djFv6RqWPb+BZc9v5NJb55d9ZmEpznvNeEMuYPXq1bS2tgK0ppRW72ycZ3JJkiRJknJv1oT2nYYdJ08dyWkztw64AFpbmnjnYWN452FjWN/RyT2PrmD+0jVMHDGAQ/Zpo29zY1blb+eEVw7nmg/M4Mwr7mPp6vU9eqwNm7penHaZhcmjWnndgSNY/vwGHlq0ioXLnmfZ89U746krJRoDOss4h2fi8IF0dCaae20fcrX2beLUGfvwt8WreMcho7cLuACaGht41chWoBCWfveOhbtd/66Ma6/s1NV655lckiRJkqS6sb6jkydWrOOt37qLNes3EQHXvH8G0/bJ9kp8lbJ01XrO+uG9zFm805NXSnLQqFYeenJVharasZOnjuTUGWOZMnrQdvc9vXo9dy9czt0LV/Drh5awZsOmij73Lz8wkzF7tfCZ6+Zw05yl3Y4f09bCLR8/ij5NPQ8yT5x9x3brePVUQ8D3Tz90h2uBvRyVeiaXV1eUJEmSJNWNPk2NjB82gC++5UAmDh/AGTP3Zf8KL+SepeGtffj5OTM56cCeXWFv0YrKT6XbrLmxgf9862S++vYpOwy4AIYN7MObpozk4pMP5HfnHc27Dhtd0TXO+vfpxV79e/OVtx/EtR+cyfknTtzl+On7tlUk4AK48aNH8vZDRlXksTabuf8QA67d4JlckiRJkqS61NWVaMhosfhq6+pKfOXWeXzjtgVlb7v/0H4seHZtReo4ftIwjp/UzvDWPoxpa2FMWwsRsVuB1ZPPreO2ec/y7T8u6PF6Vr/68BEcOKp1q9v+smA5p1x+D51diSMPGMLDS1azYu1Ghg7ozeWnHVLRK2VedffjXP6nhTy2fF2PH2t0W19+evYMRg7yqoqblXomlyGXJEmSJEk58cd5z/DZ6+dsd2bWaTP24ZiJ7azdsIk/PPIM1z6wmKljBvGhWeNoaW7kugeW8PBTq3o07fH4Se18+5Rp9Gqs7KSw796xkP+48ZGyt2tsCI6d2M57po/hqAOGbhdoppQ468r72NjZxVVnTue6Bxbzzz9/iDMOH8sFJ72iUuW/6IWNnXz11nl8785H2Z2opXevBlqaG7n53KNoH9in4vXlmSGXJEmSJEl1qKOzi+sfXMI19y9i5boORg7qy2sPHMHbphWmzG3c1MUlN8/l1Bljt7s65GW3L+Dim+aW9XyTRgzki295FROHD6zKYvzLnt/AmVfcW9aaYdP3beNr7zyY4a3dh0HrNm6ipbkXKSXWd3RV/YIC9z/+HOde/UDZU0S/9Z6pTN9vL1qaGys2lbJeGHJJkiRJkqStXPfAYs69+sGytvnxWdOZOW5IdQoqSilx05ylXHrrfP7+zPPdjj/hFcP4zqmHVLWmnli5biMX/HIOd8x/tttF9vfZq4UvnTyZg8cMMtzaiVJDrl7ZlSRJkiRJkmppU1d5J7ocMW5I1QMugIjgdQeO4LWvGs6CZ9fyxRsf4Q9znwFgRGsfXj95BDP3H0Lvpga6uqBf7z07DBrU0sw33jOVrq7EY8vX8qe/L+PCGx7ebtyRBwzh26dMo19v45lK8FWUJEmSJOllYvFz5U2he+u0kVWqZMcignHt/dl70EvTEL/01skcPX5opnVUSkNDsN/Q/vRuatwu5Grt28TX3zXVgKuCfCUlSZIkSXqZaB/Yu6zx44cNqFIlu/b5N72KT54wkVUvdDC6Lf9XGWyM7a8+OWH4AAb2NZapJF9NSZIkSZJeJk585XD69+5FZ1dicL9mLrt9AXctWM6U0YN4cNHK7ca39WvOvkgKZ3S1tjTR2tJUk+evtJbejfTu1cCGTV0v3jZ6cAuxg/BLu8+QS5IkSZKkl4nB/Zp5w0F7v/j7keOG8PiKdYxo7cPZV93PHfOf3Wr8DQ8u4Zyj98+6zLozsE8T3zn1EK57YDG/nbOUV+w9cKspmaoMr64oSZIkSZJY39HJxTc+wpV/eRyAXg3BZe+dxnGThtW4svrRWVz4v7HBM7jKUerVFQ25JEmSJEnSi+59bAX/eu3fuOB1k5g1sb3W5UiGXJIkSZIkafeklFwvSnuMUkOuhuxKkiRJkiRJeWDApTwy5JIkSZIkSVLuGXJJkiRJkiQp9wy5JEmSJEmSlHuGXJIkSZIkSco9Qy5JkiRJkiTlniGXJEmSJEmScs+QS5IkSZIkSblnyCVJkiRJkqTcM+SSJEmSJElS7hlySZIkSZIkKfcMuSRJkiRJkpR7hlySJEmSJEnKPUMuSZIkSZIk5Z4hlyRJkiRJknLPkEuSJEmSJEm5Z8glSZIkSZKk3DPkkiRJkiRJUu4ZckmSJEmSJCn3DLkkSZIkSZKUe4ZckiRJkiRJyj1DLkmSJEmSJOWeIZckSZIkSZJyz5BLkiRJkiRJuWfIJUmSJEmSpNwz5JIkSZIkSVLuGXJJkiRJkiQp9wy5JEmSJEmSlHu9al3AzqxevbrWJUiSJEmSJKnGSs2IIqVU5VLKExEjgSdrXYckSZIkSZL2KKNSSot3dueeGHIFsDewpta1lGkAhXBuFPmrXZVhDwjsAxXYBwL7QAX2gewBgX2gAvugZwYAS9Iugqw9brpisdidpnJ7qkI2B8CalJJzLV+G7AGBfaAC+0BgH6jAPpA9ILAPVGAf9Fi3r5kLz0uSJEmSJCn3DLkkSZIkSZKUe4ZclbMB+FzxX7082QMC+0AF9oHAPlCBfSB7QGAfqMA+qLI9buF5SZIkSZIkqVyeySVJkiRJkqTcM+SSJEmSJElS7hlySZIkSZIkKfcMuSRJkiRJkpR7hlxliIheEfGFiHg0Il6IiIUR8W8R0bDFmIiIiyJiSXHMHyPilbWsW5VVYh+cHBE3R8SyiEgRMaWGJavCuuuBiGiKiC9HxN8iYm1xf/DDiNi71rWrckrcF1wUEXOLffBcRPwuIqbXsm5VVil9sM34y4rvC+dmXKqqqMT9wRXFv/2WP3fXsm5VVqn7g4iYFBE3RMSqiFgTEXdHxJha1a3KKXFfsO1+YPPPJ2tZuyqnxD7oHxFfj4gni2MeiYgP1LLuetGr1gXkzPnA+4HTgIeBQ4AfAKuArxXHfAr4BHA6MB/4DHBrRExIKa3JumBVRSl90A/4M/Bz4Ls1qFHV1V0PtABTgc8DDwGDgdnADcWxqg+l7AvmAx8GFgJ9gY8Dt0TEuJTSs5lXrGoopQ8AiIg3A9OBJdmWqAyU2ge/Bc7Y4veNWRWoTHTbBxGxP3AncDlwYfG+ScD6GtSryitlXzBim21eS6EffpFRjaq+UvrgUmAWcArwGHAC8M2IWJJSuj7rgutJpJRqXUNuRMSvgadTSmducdsvgHUppfdGRFA4cJ2dUvpy8f7ewNPA+Smly2pRtyqruz7YZuxY4FHg4JTSg1nWqeoppwe2uP9Q4L+BfVJKT2RTqappN/tgIIUDnONTSr/PplJVU6l9EBEjgXuAfwB+Q+FYYXbG5apKSumDiLgCGJRSenNNilTVldgHPwU6dvY+oXzbzWOD64ABKaXjsqlS1VbivmAOcHVK6fNbjLkfuDGl9Nmsa64nTlcsz53AcRExHiAiDgKOAG4s3r8vMBy4ZfMGKaUNwO3AzGxLVRV11weqf7vTA61AAlZWvTplpaw+iIhm4GwKIddDWRWpquu2D4rTE64CLkkpPVyTKlVtpe4PjomIZyJifkR8NyLasy5UVbXLPijuC04C5kdhWYtnIuKe4lmeqg/lHhsMo9ATl2dWobJQSh/cCbwxIkZGwSxgPHBz5tXWGacrlufLFD6ozo2ITqARuCCl9JPi/cOL/z69zXZPA/tkU6Iy0F0fqP6V1QMR0Qf4EvDjlNLq7MpUlZXUBxHxeuCnFKaxPgW8JqW0LOtiVTWl9MH5wCbgv2pQn7JRSh/cRGEZg8cpfDH6eeAPETGt+KWo8q+7PmgH+gP/QmFJk/OBE4FrI2JWSun2GtSsyir3c8JpwBrg2ozqUzZK6YOPUljW5kkKxwhdwFkppTuzLrbeGHKV5x0U5sy+m8Lc2inA7OK82Su3GLftHNDYwW3Kr1L7QPWr5B6IiCYKAUcD8MGM61R1ldoHtxXvGwL8E/CziJieUnom23JVJbvsg4iYBnwMmJpcI6Kedbs/SCldvcX4ORFxH4XA6yT8gFsvuuuDzbNork8pXVr8/4MRMZPC+j2GXPlX7ueE9wE/Sim5Jlt9KaUPPgq8GngjhfeCoyisyfVUSul32ZdcP1yTqwwRsQj4UkrpG1vc9hnglJTSxIjYD1hA4UD2gS3GXA+sTCmdlnnRqrju+mCbsWNxTa66U2oPFAOunwH7AcemlJZnXqyqppx9wTbb/R34fkrp4gzKVJWVcGxwLvBVCt/QbtZY/H1RSmlshuWqSnq4P/je5rVclW8l7A+agbXA51JKX9hizJeBI1JKh2detCqqzM8JRwJ3AFNSSi5jUEdK2Bf0pbB8xVtSSr/ZYsz3gFEppRMzL7qOuCZXeVrY+iAVoJOXXsdHgaXAazbfWXwzOxq4K4sClYnu+kD1r9se2CLgOoDCIuMGXPVnd/cFAfSuSkWqhe764CpgMoVvcTf/LAEuobAIvepD2fuDiNgLGE1hGrPqwy77IKW0EbgXmLDNmPEUzuRQ/pWzLzgTuN+Aqy511wdNxR8/U1aB0xXL8yvggoh4gsJphwcDnwC+D5BSShExG/h08Zu5vwOfBtYBP65JxaqGXfYBQES0AWOAvYs3TYgIgKUppaXZlqsq2GUPREQv4BpgKvB6oDEiNq/Zt6J4kKv8664P+gEXADdQ+BC7F4Upq6MorMuj+tDdscFyYKuQOyI6KLwfzMu4VlVPd/uD/sBFwC8o7A/GAl8ElgG/zL5cVUm3x4gUAu6rI+IOCtPZTwTeAByTbamqklJ6YPPVlv8ROC/zCpWF7o4NVkfE7cAlEfEChZD7aODU4jj1gNMVyxARAygsEvoWCgtHLgF+Avz75g+tUUgyLgTOAQZTuFz4h1JKc2pStCquxD44HfjBDjb/XErpomwqVbV01wNbTFPdkVkppT9mUaeqq4Q+6EPhC47pFNbjWk7hG/wvpJTurU3VqrRS3hN2sM1jwOyU0uyMylSVlbA/6AtcR+GDziAKQddtwGdTSotqUbMqr9T9QUS8D/hXCl96zAMuTCldn33FqrQyeuBsYDYwIqW0qgalqopK/Lw4HLgYOAFooxB0fQe41DU8e8aQS5IkSZIkSbnnfE9JkiRJkiTlniGXJEmSJEmScs+QS5IkSZIkSblnyCVJkiRJkqTcM+SSJEmSJElS7hlySZIkSZIkKfcMuSRJkiRJkpR7hlySJEmSJEnKPUMuSZIkSZIk5Z4hlyRJkiRJknLPkEuSJEmSJEm5Z8glSZIkSZKk3Pt/qS3mPNMifWcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "li = esda.moran.Moran_Local(nepal_sp[['diff_events']], wq)\n",
    "li.q\n",
    "sig = li.p_sim < 0.05\n",
    "hotspot = sig * li.q==1\n",
    "coldspot = sig * li.q==3\n",
    "doughnut = sig * li.q==2\n",
    "diamond = sig * li.q==4\n",
    "spots = hotspot + coldspot + doughnut + diamond\n",
    "spot_labels = [ '0 ns', '1 hot spot', '2 doughnut', '3 cold spot', '4 diamond']\n",
    "nepal_sp['msl'] = [spot_labels[i] for i in spots]\n",
    "nepal_sp.plot(column='msl', legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Achham',\n",
       " 'Baglung',\n",
       " 'Baitadi',\n",
       " 'Bajhang',\n",
       " 'Bajura',\n",
       " 'Bajura, Accham',\n",
       " 'Banjura',\n",
       " 'Banke',\n",
       " 'Bara',\n",
       " 'Bardiya & Achham',\n",
       " 'Bhojpur',\n",
       " 'Butawal',\n",
       " 'Chitwan',\n",
       " 'Dadeldhura',\n",
       " 'Dailekh',\n",
       " 'Dandeldhura',\n",
       " 'Dandeldhura, Kalikot',\n",
       " 'Dang',\n",
       " 'Darchula',\n",
       " 'Dhading',\n",
       " 'Dhankuta',\n",
       " 'Dhanusha',\n",
       " 'Dolakha',\n",
       " 'Dolpa',\n",
       " 'Doti',\n",
       " 'Doti district',\n",
       " 'Doti, Kailali',\n",
       " 'Gorkha',\n",
       " 'Gulmi',\n",
       " 'Ilam',\n",
       " 'Jajarkot',\n",
       " 'Jhapa',\n",
       " 'Jumla',\n",
       " 'Kailali',\n",
       " 'Kalikot',\n",
       " 'Kanchanpur',\n",
       " 'Kaski',\n",
       " 'Kathmandu',\n",
       " 'Kavre',\n",
       " 'Kavrepalachowk',\n",
       " 'Khotang',\n",
       " 'Lamjung',\n",
       " 'Mahottari',\n",
       " 'Makwanpur',\n",
       " 'Makwanpur, Lalitpur',\n",
       " 'Morang',\n",
       " 'Mugu',\n",
       " 'Myagdi',\n",
       " 'Nawalparasi',\n",
       " 'Nuwakot',\n",
       " 'Okaldhunga',\n",
       " 'Okhaldunga',\n",
       " 'Palpa',\n",
       " 'Palung',\n",
       " 'Panchthar',\n",
       " 'Parbat',\n",
       " 'Pyuthan',\n",
       " 'Ramchhap',\n",
       " 'Ramechhap',\n",
       " 'Ramechhap, Sindhuli, Sindhupalchowk and Dolakha',\n",
       " 'Rautahat',\n",
       " 'Rolpa',\n",
       " 'Rukum',\n",
       " 'Rupandehi',\n",
       " 'Salyan',\n",
       " 'Sankhuwas bha',\n",
       " 'Sankhuwasabha',\n",
       " 'Saptari',\n",
       " 'Sarlahi',\n",
       " 'Sindhuli',\n",
       " 'Sindhupalchowk',\n",
       " 'Solukhumbu',\n",
       " 'Solukhumbu ',\n",
       " 'Sunsari',\n",
       " 'Surkhet',\n",
       " 'Syangja',\n",
       " 'Tanahun',\n",
       " 'Tanahun, Palpa, and Baglung ',\n",
       " 'Taplejung',\n",
       " 'Tehrathum',\n",
       " 'Udayapur',\n",
       " 'Udaypur',\n",
       " 'Udaypur ',\n",
       " 'Yanjakot',\n",
       " 'bordering Rolpa and Pyuthan districts',\n",
       " nan]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(pd.DataFrame(media.DISTRICTNAME.unique()).sort_values(by=0)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "ngo[ngo.DISTRICTNAME=='Achham'].to_excel('Nepal/check_ngo_Achham.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "media[media.DISTRICTNAME=='Achham'].to_excel('Nepal/check_media_Achham.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "ngo[ngo.DISTRICTNAME.str.contains('Doti')].to_excel('Nepal/check_ngo_Doti.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/r9/147lb9956w3cl4tl0kktrl3r0000gn/T/ipykernel_79700/2680996852.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  media_subset.DISTRICTNAME[media_subset.DISTRICTNAME.isna()]='Unknown'\n"
     ]
    }
   ],
   "source": [
    "media_subset=media.copy()\n",
    "media_subset.DISTRICTNAME[media_subset.DISTRICTNAME.isna()]='Unknown'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Granger Tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 1\n",
      "ssr based F test:         F=31.0687 , p=0.0000  , df_denom=259, df_num=1\n",
      "ssr based chi2 test:   chi2=31.4285 , p=0.0000  , df=1\n",
      "likelihood ratio test: chi2=29.6819 , p=0.0000  , df=1\n",
      "parameter F test:         F=31.0687 , p=0.0000  , df_denom=259, df_num=1\n",
      "{1: ({'ssr_ftest': (31.06866433554606, 6.244674611809246e-08, 259.0, 1), 'ssr_chi2test': (31.42853303441339, 2.0691769202123545e-08, 1), 'lrtest': (29.681876988252725, 5.0908544081305994e-08, 1), 'params_ftest': (31.068664335545918, 6.244674611809557e-08, 259.0, 1.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14bbc3c70>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd4a5b0>, array([[0., 1., 0.]])])}\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 1\n",
      "ssr based F test:         F=31.0687 , p=0.0000  , df_denom=259, df_num=1\n",
      "ssr based chi2 test:   chi2=31.4285 , p=0.0000  , df=1\n",
      "likelihood ratio test: chi2=29.6819 , p=0.0000  , df=1\n",
      "parameter F test:         F=31.0687 , p=0.0000  , df_denom=259, df_num=1\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 2\n",
      "ssr based F test:         F=20.6794 , p=0.0000  , df_denom=256, df_num=2\n",
      "ssr based chi2 test:   chi2=42.1665 , p=0.0000  , df=2\n",
      "likelihood ratio test: chi2=39.0878 , p=0.0000  , df=2\n",
      "parameter F test:         F=20.6794 , p=0.0000  , df_denom=256, df_num=2\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 3\n",
      "ssr based F test:         F=13.3946 , p=0.0000  , df_denom=253, df_num=3\n",
      "ssr based chi2 test:   chi2=41.2955 , p=0.0000  , df=3\n",
      "likelihood ratio test: chi2=38.3266 , p=0.0000  , df=3\n",
      "parameter F test:         F=13.3946 , p=0.0000  , df_denom=253, df_num=3\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 4\n",
      "ssr based F test:         F=10.7873 , p=0.0000  , df_denom=250, df_num=4\n",
      "ssr based chi2 test:   chi2=44.7024 , p=0.0000  , df=4\n",
      "likelihood ratio test: chi2=41.2380 , p=0.0000  , df=4\n",
      "parameter F test:         F=10.7873 , p=0.0000  , df_denom=250, df_num=4\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 5\n",
      "ssr based F test:         F=8.8557  , p=0.0000  , df_denom=247, df_num=5\n",
      "ssr based chi2 test:   chi2=46.2502 , p=0.0000  , df=5\n",
      "likelihood ratio test: chi2=42.5418 , p=0.0000  , df=5\n",
      "parameter F test:         F=8.8557  , p=0.0000  , df_denom=247, df_num=5\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 6\n",
      "ssr based F test:         F=7.2969  , p=0.0000  , df_denom=244, df_num=6\n",
      "ssr based chi2 test:   chi2=46.1138 , p=0.0000  , df=6\n",
      "likelihood ratio test: chi2=42.4132 , p=0.0000  , df=6\n",
      "parameter F test:         F=7.2969  , p=0.0000  , df_denom=244, df_num=6\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 7\n",
      "ssr based F test:         F=6.1362  , p=0.0000  , df_denom=241, df_num=7\n",
      "ssr based chi2 test:   chi2=45.6268 , p=0.0000  , df=7\n",
      "likelihood ratio test: chi2=41.9874 , p=0.0000  , df=7\n",
      "parameter F test:         F=6.1362  , p=0.0000  , df_denom=241, df_num=7\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 8\n",
      "ssr based F test:         F=5.4206  , p=0.0000  , df_denom=238, df_num=8\n",
      "ssr based chi2 test:   chi2=46.4622 , p=0.0000  , df=8\n",
      "likelihood ratio test: chi2=42.6821 , p=0.0000  , df=8\n",
      "parameter F test:         F=5.4206  , p=0.0000  , df_denom=238, df_num=8\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 1\n",
      "ssr based F test:         F=1.6258  , p=0.2034  , df_denom=259, df_num=1\n",
      "ssr based chi2 test:   chi2=1.6447  , p=0.1997  , df=1\n",
      "likelihood ratio test: chi2=1.6395  , p=0.2004  , df=1\n",
      "parameter F test:         F=1.6258  , p=0.2034  , df_denom=259, df_num=1\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 2\n",
      "ssr based F test:         F=1.1110  , p=0.3308  , df_denom=256, df_num=2\n",
      "ssr based chi2 test:   chi2=2.2654  , p=0.3222  , df=2\n",
      "likelihood ratio test: chi2=2.2556  , p=0.3237  , df=2\n",
      "parameter F test:         F=1.1110  , p=0.3308  , df_denom=256, df_num=2\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 3\n",
      "ssr based F test:         F=0.3810  , p=0.7668  , df_denom=253, df_num=3\n",
      "ssr based chi2 test:   chi2=1.1747  , p=0.7591  , df=3\n",
      "likelihood ratio test: chi2=1.1721  , p=0.7597  , df=3\n",
      "parameter F test:         F=0.3810  , p=0.7668  , df_denom=253, df_num=3\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 4\n",
      "ssr based F test:         F=0.4404  , p=0.7793  , df_denom=250, df_num=4\n",
      "ssr based chi2 test:   chi2=1.8251  , p=0.7679  , df=4\n",
      "likelihood ratio test: chi2=1.8187  , p=0.7691  , df=4\n",
      "parameter F test:         F=0.4404  , p=0.7793  , df_denom=250, df_num=4\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 5\n",
      "ssr based F test:         F=1.5202  , p=0.1840  , df_denom=247, df_num=5\n",
      "ssr based chi2 test:   chi2=7.9393  , p=0.1596  , df=5\n",
      "likelihood ratio test: chi2=7.8196  , p=0.1665  , df=5\n",
      "parameter F test:         F=1.5202  , p=0.1840  , df_denom=247, df_num=5\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 6\n",
      "ssr based F test:         F=1.2323  , p=0.2902  , df_denom=244, df_num=6\n",
      "ssr based chi2 test:   chi2=7.7880  , p=0.2541  , df=6\n",
      "likelihood ratio test: chi2=7.6723  , p=0.2631  , df=6\n",
      "parameter F test:         F=1.2323  , p=0.2902  , df_denom=244, df_num=6\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 7\n",
      "ssr based F test:         F=0.9643  , p=0.4580  , df_denom=241, df_num=7\n",
      "ssr based chi2 test:   chi2=7.1703  , p=0.4114  , df=7\n",
      "likelihood ratio test: chi2=7.0717  , p=0.4215  , df=7\n",
      "parameter F test:         F=0.9643  , p=0.4580  , df_denom=241, df_num=7\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 8\n",
      "ssr based F test:         F=1.4912  , p=0.1610  , df_denom=238, df_num=8\n",
      "ssr based chi2 test:   chi2=12.7815 , p=0.1196  , df=8\n",
      "likelihood ratio test: chi2=12.4714 , p=0.1314  , df=8\n",
      "parameter F test:         F=1.4912  , p=0.1610  , df_denom=238, df_num=8\n"
     ]
    }
   ],
   "source": [
    "print(grangercausalitytests(weekly[['media_events','ngo_events']], maxlag=1, addconst=True, verbose=True))\n",
    "granger_direct = grangercausalitytests(weekly[['media_events','ngo_events']], maxlag=8, addconst=True, verbose=True)\n",
    "granger_reverse = grangercausalitytests(weekly[['ngo_events','media_events']], maxlag=8, addconst=True, verbose=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Table 1 - Granger Tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\\begin{tabular}{lrrrrr}\n",
      "\\toprule\n",
      "{} &  lag &      f &    p &  f reverse &  p reverse \\\\\n",
      "\\midrule\n",
      "0 &    1 &  31.07 &  0.0 &       1.63 &       0.20 \\\\\n",
      "1 &    2 &  20.68 &  0.0 &       1.11 &       0.33 \\\\\n",
      "2 &    3 &  13.39 &  0.0 &       0.38 &       0.77 \\\\\n",
      "3 &    4 &  10.79 &  0.0 &       0.44 &       0.78 \\\\\n",
      "4 &    5 &   8.86 &  0.0 &       1.52 &       0.18 \\\\\n",
      "5 &    6 &   7.30 &  0.0 &       1.23 &       0.29 \\\\\n",
      "6 &    7 &   6.14 &  0.0 &       0.96 &       0.46 \\\\\n",
      "7 &    8 &   5.42 &  0.0 &       1.49 &       0.16 \\\\\n",
      "\\bottomrule\n",
      "\\end{tabular}\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lag</th>\n",
       "      <th>f</th>\n",
       "      <th>p</th>\n",
       "      <th>f reverse</th>\n",
       "      <th>p reverse</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>31.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.63</td>\n",
       "      <td>0.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20.68</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.11</td>\n",
       "      <td>0.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>13.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.38</td>\n",
       "      <td>0.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>10.79</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.44</td>\n",
       "      <td>0.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>8.86</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.52</td>\n",
       "      <td>0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.23</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>6.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.96</td>\n",
       "      <td>0.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>5.42</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.49</td>\n",
       "      <td>0.16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   lag      f    p  f reverse  p reverse\n",
       "0    1  31.07  0.0       1.63       0.20\n",
       "1    2  20.68  0.0       1.11       0.33\n",
       "2    3  13.39  0.0       0.38       0.77\n",
       "3    4  10.79  0.0       0.44       0.78\n",
       "4    5   8.86  0.0       1.52       0.18\n",
       "5    6   7.30  0.0       1.23       0.29\n",
       "6    7   6.14  0.0       0.96       0.46\n",
       "7    8   5.42  0.0       1.49       0.16"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f_values = [granger_direct[i][0]['ssr_ftest'][0] for i in range(1,9)]\n",
    "p_values = [granger_direct[i][0]['ssr_ftest'][1] for i in range(1,9)]\n",
    "f_values_reverse  = [granger_reverse[i][0]['ssr_ftest'][0] for i in range(1,9)]\n",
    "p_values_reverse = [granger_reverse[i][0]['ssr_ftest'][1] for i in range(1,9)]\n",
    "\n",
    "rho = pd.DataFrame({'lag':list(range(1,9)), 'f':f_values, 'p':p_values,\\\n",
    "             'f reverse':f_values_reverse, 'p reverse':p_values_reverse}).round(2)\n",
    "\n",
    "print(rho.to_latex())\n",
    "rho\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 1\n",
      "ssr based F test:         F=2.4459  , p=0.1191  , df_denom=259, df_num=1\n",
      "ssr based chi2 test:   chi2=2.4742  , p=0.1157  , df=1\n",
      "likelihood ratio test: chi2=2.4626  , p=0.1166  , df=1\n",
      "parameter F test:         F=2.4459  , p=0.1191  , df_denom=259, df_num=1\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 2\n",
      "ssr based F test:         F=1.1852  , p=0.3074  , df_denom=256, df_num=2\n",
      "ssr based chi2 test:   chi2=2.4167  , p=0.2987  , df=2\n",
      "likelihood ratio test: chi2=2.4056  , p=0.3003  , df=2\n",
      "parameter F test:         F=1.1852  , p=0.3074  , df_denom=256, df_num=2\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 3\n",
      "ssr based F test:         F=1.4084  , p=0.2408  , df_denom=253, df_num=3\n",
      "ssr based chi2 test:   chi2=4.3420  , p=0.2268  , df=3\n",
      "likelihood ratio test: chi2=4.3061  , p=0.2302  , df=3\n",
      "parameter F test:         F=1.4084  , p=0.2408  , df_denom=253, df_num=3\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 4\n",
      "ssr based F test:         F=6.1557  , p=0.0001  , df_denom=250, df_num=4\n",
      "ssr based chi2 test:   chi2=25.5093 , p=0.0000  , df=4\n",
      "likelihood ratio test: chi2=24.3299 , p=0.0001  , df=4\n",
      "parameter F test:         F=6.1557  , p=0.0001  , df_denom=250, df_num=4\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 5\n",
      "ssr based F test:         F=4.6007  , p=0.0005  , df_denom=247, df_num=5\n",
      "ssr based chi2 test:   chi2=24.0279 , p=0.0002  , df=5\n",
      "likelihood ratio test: chi2=22.9740 , p=0.0003  , df=5\n",
      "parameter F test:         F=4.6007  , p=0.0005  , df_denom=247, df_num=5\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 6\n",
      "ssr based F test:         F=3.8143  , p=0.0012  , df_denom=244, df_num=6\n",
      "ssr based chi2 test:   chi2=24.1048 , p=0.0005  , df=6\n",
      "likelihood ratio test: chi2=23.0404 , p=0.0008  , df=6\n",
      "parameter F test:         F=3.8143  , p=0.0012  , df_denom=244, df_num=6\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 7\n",
      "ssr based F test:         F=4.2847  , p=0.0002  , df_denom=241, df_num=7\n",
      "ssr based chi2 test:   chi2=31.8595 , p=0.0000  , df=7\n",
      "likelihood ratio test: chi2=30.0276 , p=0.0001  , df=7\n",
      "parameter F test:         F=4.2847  , p=0.0002  , df_denom=241, df_num=7\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 8\n",
      "ssr based F test:         F=3.7734  , p=0.0003  , df_denom=238, df_num=8\n",
      "ssr based chi2 test:   chi2=32.3435 , p=0.0001  , df=8\n",
      "likelihood ratio test: chi2=30.4507 , p=0.0002  , df=8\n",
      "parameter F test:         F=3.7734  , p=0.0003  , df_denom=238, df_num=8\n",
      "{1: ({'ssr_ftest': (2.4458996529358212, 0.11905330117613153, 259.0, 1), 'ssr_chi2test': (2.474230536946661, 0.1157260655077761, 1), 'lrtest': (2.4626207158744364, 0.11658412057211157, 1), 'params_ftest': (2.445899652878825, 0.11905330118040681, 259.0, 1.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52a90>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd529d0>, array([[0., 1., 0.]])]), 2: ({'ssr_ftest': (1.1852192377742234, 0.307350775144851, 256.0, 2), 'ssr_chi2test': (2.4167361020240024, 0.2986843194824447, 2), 'lrtest': (2.4056157807117415, 0.3003496778237671, 2), 'params_ftest': (1.1852192377741764, 0.3073507751448675, 256.0, 2.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9abe0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a0a0>, array([[0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 1., 0.]])]), 3: ({'ssr_ftest': (1.4083673456159629, 0.24081547742074122, 253.0, 3), 'ssr_chi2test': (4.342002093203364, 0.22682376632620954, 3), 'lrtest': (4.306145016555092, 0.23024729251839454, 3), 'params_ftest': (1.4083673456159786, 0.2408154774207374, 253.0, 3.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a490>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9ad30>, array([[0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 1., 0.]])]), 4: ({'ssr_ftest': (6.155728845924691, 9.705877292531138e-05, 250.0, 4), 'ssr_chi2test': (25.509340337511922, 3.9734459325480824e-05, 4), 'lrtest': (24.32994770829464, 6.858655407281254e-05, 4), 'params_ftest': (6.155728845915779, 9.70587729267684e-05, 250.0, 4.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9afd0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a250>, array([[0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 5: ({'ssr_ftest': (4.600696833127507, 0.0004953286141879889, 247.0, 5), 'ssr_chi2test': (24.02793082888455, 0.00021444605538512297, 5), 'lrtest': (22.974003863913822, 0.0003414507742074761, 5), 'params_ftest': (4.6006968331107085, 0.000495328614204759, 247.0, 5.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9aee0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a7f0>, array([[0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 6: ({'ssr_ftest': (3.8142517287043307, 0.0011846546502421722, 244.0, 6), 'ssr_chi2test': (24.104820351074093, 0.0004995718277971253, 6), 'lrtest': (23.040446047786645, 0.0007830447068662007, 6), 'params_ftest': (3.81425172869691, 0.0011846546502624774, 244.0, 6.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9ab20>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0040>, array([[0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 7: ({'ssr_ftest': (4.28468028183466, 0.00017417621727147556, 241.0, 7), 'ssr_chi2test': (31.859531390239464, 4.312484184611631e-05, 7), 'lrtest': (30.02756568193763, 9.38605127229333e-05, 7), 'params_ftest': (4.2846802818341825, 0.00017417621727169505, 241.0, 7.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a610>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a070>, array([[0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 8: ({'ssr_ftest': (3.7734037063561137, 0.00034737298296010213, 238.0, 8), 'ssr_chi2test': (32.343460340195264, 8.082835176603425e-05, 8), 'lrtest': (30.450743659981526, 0.00017589753765263143, 8), 'params_ftest': (3.7734037063559147, 0.00034737298296030493, 238.0, 8.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda09a0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0a90>, array([[0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.,\n",
      "        0.]])])}\n"
     ]
    }
   ],
   "source": [
    "print(grangercausalitytests(weekly[['ngo_abductions','media_abductions']], maxlag=8, addconst=True, verbose=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 1\n",
      "ssr based F test:         F=1.5931  , p=0.2080  , df_denom=259, df_num=1\n",
      "ssr based chi2 test:   chi2=1.6115  , p=0.2043  , df=1\n",
      "likelihood ratio test: chi2=1.6066  , p=0.2050  , df=1\n",
      "parameter F test:         F=1.5931  , p=0.2080  , df_denom=259, df_num=1\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 2\n",
      "ssr based F test:         F=1.8837  , p=0.1541  , df_denom=256, df_num=2\n",
      "ssr based chi2 test:   chi2=3.8410  , p=0.1465  , df=2\n",
      "likelihood ratio test: chi2=3.8130  , p=0.1486  , df=2\n",
      "parameter F test:         F=1.8837  , p=0.1541  , df_denom=256, df_num=2\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 3\n",
      "ssr based F test:         F=1.2037  , p=0.3089  , df_denom=253, df_num=3\n",
      "ssr based chi2 test:   chi2=3.7111  , p=0.2944  , df=3\n",
      "likelihood ratio test: chi2=3.6849  , p=0.2976  , df=3\n",
      "parameter F test:         F=1.2037  , p=0.3089  , df_denom=253, df_num=3\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 4\n",
      "ssr based F test:         F=0.8959  , p=0.4669  , df_denom=250, df_num=4\n",
      "ssr based chi2 test:   chi2=3.7128  , p=0.4463  , df=4\n",
      "likelihood ratio test: chi2=3.6864  , p=0.4501  , df=4\n",
      "parameter F test:         F=0.8959  , p=0.4669  , df_denom=250, df_num=4\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 5\n",
      "ssr based F test:         F=0.6348  , p=0.6734  , df_denom=247, df_num=5\n",
      "ssr based chi2 test:   chi2=3.3152  , p=0.6515  , df=5\n",
      "likelihood ratio test: chi2=3.2941  , p=0.6547  , df=5\n",
      "parameter F test:         F=0.6348  , p=0.6734  , df_denom=247, df_num=5\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 6\n",
      "ssr based F test:         F=0.5542  , p=0.7665  , df_denom=244, df_num=6\n",
      "ssr based chi2 test:   chi2=3.5024  , p=0.7436  , df=6\n",
      "likelihood ratio test: chi2=3.4788  , p=0.7468  , df=6\n",
      "parameter F test:         F=0.5542  , p=0.7665  , df_denom=244, df_num=6\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 7\n",
      "ssr based F test:         F=1.1416  , p=0.3377  , df_denom=241, df_num=7\n",
      "ssr based chi2 test:   chi2=8.4887  , p=0.2915  , df=7\n",
      "likelihood ratio test: chi2=8.3510  , p=0.3027  , df=7\n",
      "parameter F test:         F=1.1416  , p=0.3377  , df_denom=241, df_num=7\n",
      "\n",
      "Granger Causality\n",
      "number of lags (no zero) 8\n",
      "ssr based F test:         F=1.2924  , p=0.2481  , df_denom=238, df_num=8\n",
      "ssr based chi2 test:   chi2=11.0779 , p=0.1973  , df=8\n",
      "likelihood ratio test: chi2=10.8440 , p=0.2107  , df=8\n",
      "parameter F test:         F=1.2924  , p=0.2481  , df_denom=238, df_num=8\n",
      "{1: ({'ssr_ftest': (1.593077131205235, 0.20802240926129437, 259.0, 1), 'ssr_chi2test': (1.611529762068616, 0.20427689797059875, 1), 'lrtest': (1.6065938312922299, 0.20497126614876687, 1), 'params_ftest': (1.5930771311803076, 0.20802240926484322, 259.0, 1.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd28ca0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd9a790>, array([[0., 1., 0.]])]), 2: ({'ssr_ftest': (1.8836945097654896, 0.1541285253186676, 256.0, 2), 'ssr_chi2test': (3.840970836318694, 0.14653581371840801, 2), 'lrtest': (3.8129825316595998, 0.14860087389965523, 2), 'params_ftest': (1.8836945097655549, 0.15412852531865773, 256.0, 2.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52cd0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd522e0>, array([[0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 1., 0.]])]), 3: ({'ssr_ftest': (1.2037305815118384, 0.30893318454273333, 253.0, 3), 'ssr_chi2test': (3.7111061406293837, 0.2943966692519813, 3), 'lrtest': (3.6848702880815836, 0.29756464080255096, 3), 'params_ftest': (1.2037305815118944, 0.30893318454271146, 253.0, 3.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52b80>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52be0>, array([[0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 1., 0.]])]), 4: ({'ssr_ftest': (0.8959455377320404, 0.46693660608824106, 250.0, 4), 'ssr_chi2test': (3.7127983083615756, 0.4462672194625932, 4), 'lrtest': (3.686438206058483, 0.4501014821357854, 4), 'params_ftest': (0.8959455377322718, 0.46693660608810206, 250.0, 4.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0940>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0700>, array([[0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 5: ({'ssr_ftest': (0.6347708210380406, 0.6733769361317599, 247.0, 5), 'ssr_chi2test': (3.315199834571143, 0.6515154110520514, 5), 'lrtest': (3.2940810389895887, 0.6547479936607952, 5), 'params_ftest': (0.6347708210381345, 0.6733769361316824, 247.0, 5.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52a90>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cd52eb0>, array([[0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 6: ({'ssr_ftest': (0.5542077698631342, 0.7664640778520575, 244.0, 6), 'ssr_chi2test': (3.5024113980694795, 0.7436488417314626, 6), 'lrtest': (3.4787604968742016, 0.7467933422277974, 6), 'params_ftest': (0.554207769863951, 0.7664640778514225, 244.0, 6.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda09a0>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0d90>, array([[0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 7: ({'ssr_ftest': (1.1416151022968448, 0.33766908923696315, 241.0, 7), 'ssr_chi2test': (8.488689889277785, 0.29147760747041507, 7), 'lrtest': (8.350987663755404, 0.3026636507669926, 7), 'params_ftest': (1.1416151022969117, 0.3376690892369199, 241.0, 7.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0880>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0e80>, array([[0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.]])]), 8: ({'ssr_ftest': (1.292424561104858, 0.24806305468394507, 238.0, 8), 'ssr_chi2test': (11.077924809470211, 0.19732284849283652, 8), 'lrtest': (10.844046138971862, 0.21069331020564555, 8), 'params_ftest': (1.2924245611048664, 0.24806305468394121, 238.0, 8.0)}, [<statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0f70>, <statsmodels.regression.linear_model.RegressionResultsWrapper object at 0x14cda0760>, array([[0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1., 0.,\n",
      "        0.],\n",
      "       [0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 1.,\n",
      "        0.]])])}\n"
     ]
    }
   ],
   "source": [
    "print(grangercausalitytests(weekly[['media_abductions','ngo_abductions']], maxlag=8, addconst=True, verbose=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.779291553133515"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media.VDCMCP.isnull().sum()/media.VDCMCP.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figures in the Web Appendix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_set = media[['CASEQUANTITY','weekid']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "def bucket_compare(low_thresh = 10, high_thresh = 100):\n",
    "\n",
    "    ngo_set = ngo[['CASEQUANTITY','weekid']]\n",
    "    ngo_set['low_ngo'] = 0\n",
    "    ngo_set['mid_ngo'] = 0\n",
    "    ngo_set['high_ngo'] = 0\n",
    "\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY<low_thresh),'low_ngo'] = 1\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY>=low_thresh) & (ngo_set.CASEQUANTITY<high_thresh),'mid_ngo'] = 1\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY>=high_thresh),'high_ngo'] = 1\n",
    "    ngo_set=ngo_set.groupby('weekid').agg('sum')\n",
    "\n",
    "\n",
    "    media_set = media[['CASEQUANTITY','weekid']]\n",
    "    media_set['low_media'] = 0\n",
    "    media_set['mid_media'] = 0\n",
    "    media_set['high_media'] = 0\n",
    "\n",
    "    media_set.loc[(media_set.CASEQUANTITY<low_thresh),'low_media'] = 1\n",
    "    media_set.loc[(media_set.CASEQUANTITY>=low_thresh) & (media_set.CASEQUANTITY<high_thresh),'mid_media'] = 1\n",
    "    media_set.loc[(media_set.CASEQUANTITY>=high_thresh),'high_media'] = 1\n",
    "    media_set=media_set.groupby('weekid').agg('sum')\n",
    "\n",
    "    print('NGO set aggs :\\n',ngo_set.agg('sum'),'\\n\\n')\n",
    "    print('MEDIA set aggs :\\n',media_set.agg('sum'),'\\n\\n')\n",
    "\n",
    "    out = ngo_set.join(media_set,how='outer',lsuffix='_n').fillna(0)\n",
    "    print (\"Merged :\")\n",
    "    print (\"*\"*24)\n",
    "    print (out.head())\n",
    "    return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bootstrap(bucket_compare_output):\n",
    "    \n",
    "    ms = bucket_compare_output.copy()\n",
    "\n",
    "    np.random.seed(53)\n",
    "    \n",
    "    ms['prop_low'] = ms.low_media / ms.low_ngo\n",
    "    ms['prop_mid'] = ms.mid_media / ms.mid_ngo\n",
    "    ms['prop_high'] = ms.high_media / ms.high_ngo\n",
    "    ms = ms.replace([np.inf, -np.inf], np.nan)\n",
    "\n",
    "    low_1 = ms.prop_low.dropna()\n",
    "    mid_1 = ms.prop_mid.dropna()\n",
    "    high_1 = ms.prop_high.dropna()\n",
    "    low_1.mean(), mid_1.mean(), high_1.mean()\n",
    "\n",
    "    bootstrap_low = []\n",
    "    bootstrap_mid = []\n",
    "    bootstrap_high = []\n",
    "    for i in range(0,10000):\n",
    "        b_low = low_1.sample(frac=1,replace=True).mean()\n",
    "        b_mid = mid_1.sample(frac=1,replace=True).mean()\n",
    "        b_high = high_1.sample(frac=1,replace=True).mean()\n",
    "        bootstrap_low += [b_low]\n",
    "        bootstrap_mid += [b_mid]\n",
    "        bootstrap_high += [b_high]\n",
    "    bootstrap_low.sort()\n",
    "    bootstrap_mid.sort()\n",
    "    bootstrap_high.sort()\n",
    "    print('Low  (0.025,0.5,0.975):',bootstrap_low[250],bootstrap_low[5000],bootstrap_low[9750])\n",
    "    print('Mid  (0.025,0.5,0.975):',bootstrap_mid[250],bootstrap_mid[5000],bootstrap_mid[9750])\n",
    "    print('High (0.025,0.5,0.975):',bootstrap_high[250],bootstrap_high[5000],bootstrap_high[9750])\n",
    "    return bootstrap_low, bootstrap_mid, bootstrap_high"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bootstrap_plot(bootstrap_low, \n",
    "                   bootstrap_mid, \n",
    "                   bootstrap_high, \n",
    "                   fname='plt_a1.png', \n",
    "                   title=' ',\n",
    "                   y_axes = ['Low-intensity (5-10)','Mid-intensity (10-100)','High-intensity (100+)']):\n",
    "    mid = (bootstrap_low[5000],bootstrap_mid[5000],bootstrap_high[5000])\n",
    "    err_low = (bootstrap_low[5000]-bootstrap_low[250],\n",
    "           bootstrap_mid[5000]-bootstrap_mid[250],\n",
    "           bootstrap_high[5000]-bootstrap_high[250])\n",
    "    err_high = (bootstrap_low[9750]-bootstrap_low[5000],\n",
    "           bootstrap_mid[9750]-bootstrap_mid[5000],\n",
    "           bootstrap_high[9750]-bootstrap_high[5000])\n",
    "    err = [err_low,err_high]\n",
    "    plt.scatter(mid,y_axes)\n",
    "    plt.title(title)\n",
    "    plt.errorbar(mid,y_axes,xerr=err,fmt=\"o\")\n",
    "    plt.show()\n",
    "    plt.savefig(fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NGO set aggs :\n",
      " CASEQUANTITY    73923\n",
      "low_ngo            79\n",
      "mid_ngo           281\n",
      "high_ngo          152\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "MEDIA set aggs :\n",
      " CASEQUANTITY    56899\n",
      "low_media          65\n",
      "mid_media         168\n",
      "high_media        134\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "Merged :\n",
      "************************\n",
      "        CASEQUANTITY_n  low_ngo  mid_ngo  high_ngo  CASEQUANTITY  low_media  \\\n",
      "weekid                                                                        \n",
      "1                 10.0      0.0      1.0       0.0           0.0        0.0   \n",
      "4                 12.0      0.0      1.0       0.0           0.0        0.0   \n",
      "14                 0.0      0.0      0.0       0.0           6.0        1.0   \n",
      "24                35.0      0.0      1.0       0.0           0.0        0.0   \n",
      "27                 0.0      0.0      0.0       0.0          11.0        0.0   \n",
      "\n",
      "        mid_media  high_media  \n",
      "weekid                         \n",
      "1             0.0         0.0  \n",
      "4             0.0         0.0  \n",
      "14            0.0         0.0  \n",
      "24            0.0         0.0  \n",
      "27            1.0         0.0  \n",
      "\n",
      "************************\n",
      "Bootstrap Statistics\n",
      "************************ \n",
      "\n",
      "Low  (0.025,0.5,0.975): 0.04878048780487805 0.18292682926829268 0.3780487804878049\n",
      "Mid  (0.025,0.5,0.975): 0.3899104196133899 0.5233937679482235 0.6918198962753417\n",
      "High (0.025,0.5,0.975): 0.5702222222222223 0.7462222222222221 0.935111111111111\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x1500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merge_set_no_lag = bucket_compare()\n",
    "\n",
    "print ()\n",
    "print ('*'*24)\n",
    "print ('Bootstrap Statistics')\n",
    "print ('*'*24,'\\n')\n",
    "\n",
    "bootstrap_low, bootstrap_mid, bootstrap_high = bootstrap(merge_set_no_lag)\n",
    "\n",
    "bootstrap_plot(\n",
    "    bootstrap_low, bootstrap_mid, bootstrap_high,\n",
    "    title='''Bootstrapped proportion of NGO events \\n being reported by the media in the same week \\n by intensity (number of kidnapping victims)''',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NGO set aggs :\n",
      " CASEQUANTITY    73923\n",
      "low_ngo           227\n",
      "mid_ngo           217\n",
      "high_ngo           68\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "MEDIA set aggs :\n",
      " CASEQUANTITY    56899\n",
      "low_media         147\n",
      "mid_media         156\n",
      "high_media         64\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "Merged :\n",
      "************************\n",
      "        CASEQUANTITY_n  low_ngo  mid_ngo  high_ngo  CASEQUANTITY  low_media  \\\n",
      "weekid                                                                        \n",
      "1                 10.0      1.0      0.0       0.0           0.0        0.0   \n",
      "4                 12.0      1.0      0.0       0.0           0.0        0.0   \n",
      "14                 0.0      0.0      0.0       0.0           6.0        1.0   \n",
      "24                35.0      0.0      1.0       0.0           0.0        0.0   \n",
      "27                 0.0      0.0      0.0       0.0          11.0        1.0   \n",
      "\n",
      "        mid_media  high_media  \n",
      "weekid                         \n",
      "1             0.0         0.0  \n",
      "4             0.0         0.0  \n",
      "14            0.0         0.0  \n",
      "24            0.0         0.0  \n",
      "27            0.0         0.0  \n",
      "\n",
      "************************\n",
      "Bootstrap Statistics\n",
      "************************ \n",
      "\n",
      "Low  (0.025,0.5,0.975): 0.346641502129307 0.5314169570267131 0.7517421602787456\n",
      "Mid  (0.025,0.5,0.975): 0.45602836879432623 0.6088652482269503 0.776241134751773\n",
      "High (0.025,0.5,0.975): 0.4148936170212766 0.6648936170212766 0.9787234042553191\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x1500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merge_set_no_lag = bucket_compare(25,250)\n",
    "\n",
    "print ()\n",
    "print ('*'*24)\n",
    "print ('Bootstrap Statistics')\n",
    "print ('*'*24,'\\n')\n",
    "\n",
    "bootstrap_low, bootstrap_mid, bootstrap_high = bootstrap(merge_set_no_lag)\n",
    "\n",
    "bootstrap_plot(\n",
    "    bootstrap_low, bootstrap_mid, bootstrap_high,\n",
    "    title='''Bootstrapped proportion of NGO events \\n being reported by the media in the same week \\n by intensity (number of kidnapping victims)''',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Equal thresholds at : [17, 99]\n",
      "NGO set aggs :\n",
      " CASEQUANTITY    73923\n",
      "low_ngo           169\n",
      "mid_ngo           190\n",
      "high_ngo          153\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "MEDIA set aggs :\n",
      " CASEQUANTITY    56899\n",
      "low_media         117\n",
      "mid_media         116\n",
      "high_media        134\n",
      "dtype: int64 \n",
      "\n",
      "\n",
      "Merged :\n",
      "************************\n",
      "        CASEQUANTITY_n  low_ngo  mid_ngo  high_ngo  CASEQUANTITY  low_media  \\\n",
      "weekid                                                                        \n",
      "1                 10.0      1.0      0.0       0.0           0.0        0.0   \n",
      "4                 12.0      1.0      0.0       0.0           0.0        0.0   \n",
      "14                 0.0      0.0      0.0       0.0           6.0        1.0   \n",
      "24                35.0      0.0      1.0       0.0           0.0        0.0   \n",
      "27                 0.0      0.0      0.0       0.0          11.0        1.0   \n",
      "\n",
      "        mid_media  high_media  \n",
      "weekid                         \n",
      "1             0.0         0.0  \n",
      "4             0.0         0.0  \n",
      "14            0.0         0.0  \n",
      "24            0.0         0.0  \n",
      "27            0.0         0.0  \n",
      "\n",
      "************************\n",
      "Bootstrap Statistics\n",
      "************************ \n",
      "\n",
      "Low  (0.025,0.5,0.975): 0.22269119769119772 0.3715007215007215 0.5603535353535354\n",
      "Mid  (0.025,0.5,0.975): 0.32143738977072306 0.4636331569664903 0.6558024691358024\n",
      "High (0.025,0.5,0.975): 0.5722828282828283 0.7447272727272728 0.9353939393939394\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x1500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "split_arrays=np.array_split(media.CASEQUANTITY.sort_values().reset_index().CASEQUANTITY,3)\n",
    "thresholds = [min(i)-1 for i in split_arrays][1:]\n",
    "print('Equal thresholds at :', thresholds)\n",
    "merge_set_no_lag = bucket_compare(*thresholds)\n",
    "\n",
    "print ()\n",
    "print ('*'*24)\n",
    "print ('Bootstrap Statistics')\n",
    "print ('*'*24,'\\n')\n",
    "\n",
    "bootstrap_low, bootstrap_mid, bootstrap_high = bootstrap(merge_set_no_lag)\n",
    "\n",
    "bootstrap_plot(\n",
    "    bootstrap_low, bootstrap_mid, bootstrap_high,\n",
    "    title='''Bootstrapped proportion of NGO events \\n being reported by the media in the same week \\n by intensity (number of kidnapping victims)''',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "    ngo_set = ngo[['CASEQUANTITY','weekid']]\n",
    "    ngo_set['low_ngo'] = 0\n",
    "    ngo_set['mid_ngo'] = 0\n",
    "    ngo_set['high_ngo'] = 0\n",
    "\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY<10),'low_ngo'] = 1\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY>=10) & (ngo_set.CASEQUANTITY<100),'mid_ngo'] = 1\n",
    "    ngo_set.loc[(ngo_set.CASEQUANTITY>=100),'high_ngo'] = 1\n",
    "    ngo_set=ngo_set.groupby('weekid').agg('sum')\n",
    "\n",
    "\n",
    "    media_set = media[['CASEQUANTITY','weekid']]\n",
    "    media_set['low_media'] = 0\n",
    "    media_set['mid_media'] = 0\n",
    "    media_set['high_media'] = 0\n",
    "\n",
    "    media_set.loc[(media_set.CASEQUANTITY<10),'low_media'] = 1\n",
    "    media_set.loc[(media_set.CASEQUANTITY>=10) & (media_set.CASEQUANTITY<100),'mid_media'] = 1\n",
    "    media_set.loc[(media_set.CASEQUANTITY>=100),'high_media'] = 1\n",
    "    media_set=media_set.groupby('weekid').agg('sum')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_set_lead1 = media_set.reset_index()\n",
    "media_set_lead1['weekid']=media_set_lead1.weekid+1\n",
    "media_set_lead1 = media_set_lead1.set_index('weekid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CASEQUANTITY</th>\n",
       "      <th>low_media</th>\n",
       "      <th>mid_media</th>\n",
       "      <th>high_media</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weekid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>12</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>667</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>13</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>133 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CASEQUANTITY  low_media  mid_media  high_media\n",
       "weekid                                                \n",
       "15                 6          1          0           0\n",
       "28                11          0          1           0\n",
       "32                 8          1          0           0\n",
       "39               100          0          0           1\n",
       "42                 5          1          0           0\n",
       "...              ...        ...        ...         ...\n",
       "256               12          2          0           0\n",
       "258               50          0          1           0\n",
       "259              667          0          7           1\n",
       "260               11          0          1           0\n",
       "263               13          0          1           0\n",
       "\n",
       "[133 rows x 4 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media_set_lead1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>CASEQUANTITY_n</th>\n",
       "      <th>low_media_n</th>\n",
       "      <th>mid_media_n</th>\n",
       "      <th>high_media_n</th>\n",
       "      <th>CASEQUANTITY</th>\n",
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       "      <th></th>\n",
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       "      <th>14</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>667.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>667.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
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       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>175 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CASEQUANTITY_n  low_media_n  mid_media_n  high_media_n  CASEQUANTITY  \\\n",
       "weekid                                                                         \n",
       "14                 0.0          0.0          0.0           0.0           6.0   \n",
       "15                 6.0          1.0          0.0           0.0           0.0   \n",
       "27                 0.0          0.0          0.0           0.0          11.0   \n",
       "28                11.0          0.0          1.0           0.0           0.0   \n",
       "31                 0.0          0.0          0.0           0.0           8.0   \n",
       "...                ...          ...          ...           ...           ...   \n",
       "258               50.0          0.0          1.0           0.0         667.0   \n",
       "259              667.0          0.0          7.0           1.0          11.0   \n",
       "260               11.0          0.0          1.0           0.0           0.0   \n",
       "262                0.0          0.0          0.0           0.0          13.0   \n",
       "263               13.0          0.0          1.0           0.0           0.0   \n",
       "\n",
       "        low_media  mid_media  high_media  \n",
       "weekid                                    \n",
       "14            1.0        0.0         0.0  \n",
       "15            0.0        0.0         0.0  \n",
       "27            0.0        1.0         0.0  \n",
       "28            0.0        0.0         0.0  \n",
       "31            1.0        0.0         0.0  \n",
       "...           ...        ...         ...  \n",
       "258           0.0        7.0         1.0  \n",
       "259           0.0        1.0         0.0  \n",
       "260           0.0        0.0         0.0  \n",
       "262           0.0        1.0         0.0  \n",
       "263           0.0        0.0         0.0  \n",
       "\n",
       "[175 rows x 8 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media_set_lead1 = media_set_lead1.join(media_set,how='outer',lsuffix='_n').fillna(0)\n",
    "media_set_lead1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_set_lead1['low_media'] = 0\n",
    "media_set_lead1['mid_media'] = 0\n",
    "media_set_lead1['high_media'] = 0\n",
    "media_set_lead1['low_media_n'] = 0\n",
    "media_set_lead1['mid_media_n'] = 0\n",
    "media_set_lead1['high_media_n'] = 0\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY<10),'low_media'] = 1\n",
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY>=10) & (media_set_lead1.CASEQUANTITY<100),'mid_media'] = 1\n",
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY>=100),'high_media'] = 1\n",
    "media_set_lead1['low_media'] = media_set_lead1.low_media + media_set_lead1.low_media_n\n",
    "media_set_lead1['mid_media'] = media_set_lead1.mid_media + media_set_lead1.mid_media_n\n",
    "media_set_lead1['high_media'] = media_set_lead1.high_media + media_set_lead1.high_media_n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY_n<10),'low_media_n'] = 1\n",
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY_n>=10) & (media_set_lead1.CASEQUANTITY_n<100),'mid_media_n'] = 1\n",
    "media_set_lead1.loc[(media_set_lead1.CASEQUANTITY_n>=100),'high_media_n'] = 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "media_set_lead1['low_media'] = media_set_lead1.low_media + media_set_lead1.low_media_n\n",
    "media_set_lead1['mid_media'] = media_set_lead1.mid_media + media_set_lead1.mid_media_n\n",
    "media_set_lead1['high_media'] = media_set_lead1.high_media + media_set_lead1.high_media_n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>low_media</th>\n",
       "      <th>mid_media</th>\n",
       "      <th>high_media</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weekid</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>175 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        low_media  mid_media  high_media\n",
       "weekid                                  \n",
       "14              2          0           0\n",
       "15              2          0           0\n",
       "27              1          1           0\n",
       "28              1          1           0\n",
       "31              2          0           0\n",
       "...           ...        ...         ...\n",
       "258             0          1           1\n",
       "259             0          1           1\n",
       "260             1          1           0\n",
       "262             1          1           0\n",
       "263             1          1           0\n",
       "\n",
       "[175 rows x 3 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "media_set_lead1[['low_media','mid_media','high_media']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge_set_lag = ngo_set.join(media_set_lead1,how='outer',lsuffix='_n').fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "merge_set_lag['prop_low'] = merge_set_lag.low_media / merge_set_lag.low_ngo\n",
    "merge_set_lag['prop_mid'] = merge_set_lag.mid_media / merge_set_lag.mid_ngo\n",
    "merge_set_lag['prop_high'] = merge_set_lag.high_media / merge_set_lag.high_ngo\n",
    "merge_set_lag = merge_set_lag.replace([np.inf, -np.inf], np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.2073170731707317, 0.2482319660537482, 0.7804444444444444)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low_2 = merge_set_lag.prop_low.dropna()\n",
    "mid_2 = merge_set_lag.prop_mid.dropna()\n",
    "high_2 = merge_set_lag.prop_high.dropna()\n",
    "low_2.mean(), mid_2.mean(), high_2.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0975609756097561 0.2073170731707317 0.32926829268292684\n",
      "0.17138142385667138 0.24752475247524752 0.33074021687883076\n",
      "0.6417777777777778 0.7786666666666666 0.9248888888888888\n"
     ]
    }
   ],
   "source": [
    "np.random.seed(2049)\n",
    "\n",
    "bootstrap_low = []\n",
    "bootstrap_mid = []\n",
    "bootstrap_high = []\n",
    "for i in range(0,10000):\n",
    "    b_low = low_2.sample(frac=1,replace=True).mean()\n",
    "    b_mid = mid_2.sample(frac=1,replace=True).mean()\n",
    "    b_high = high_2.sample(frac=1,replace=True).mean()\n",
    "    bootstrap_low += [b_low]\n",
    "    bootstrap_mid += [b_mid]\n",
    "    bootstrap_high += [b_high]\n",
    "bootstrap_low.sort()\n",
    "bootstrap_mid.sort()\n",
    "bootstrap_high.sort()\n",
    "print(bootstrap_low[250],bootstrap_low[5000],bootstrap_low[9750])\n",
    "print(bootstrap_mid[250],bootstrap_mid[5000],bootstrap_mid[9750])\n",
    "print(bootstrap_high[250],bootstrap_high[5000],bootstrap_high[9750])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_axes = ['Low-intensity (5-10)','Mid-intensity (10-100)','High-intensity (100+)'] \n",
    "mid = (bootstrap_low[5000],bootstrap_mid[5000],bootstrap_high[5000])\n",
    "err_low = (bootstrap_low[5000]-bootstrap_low[250],\n",
    "       bootstrap_mid[5000]-bootstrap_mid[250],\n",
    "       bootstrap_high[5000]-bootstrap_high[250])\n",
    "err_high = (bootstrap_low[9750]-bootstrap_low[5000],\n",
    "       bootstrap_mid[9750]-bootstrap_mid[5000],\n",
    "       bootstrap_high[9750]-bootstrap_high[5000])\n",
    "err = [err_low,err_high]\n",
    "plt.scatter(mid,y_axes)\n",
    "plt.errorbar(mid,y_axes,xerr=err,fmt=\"o\")\n",
    "plt.title('Bootstrapped proportion of NGO events \\n being reported by the media in the same and next week\\n by intensity (number of kidnapping victims)')\n",
    "plt.savefig('plt_a2.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(334, 512, 0.65234375)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with_vdc = ngo.VDCMCP.isnull().sum()+(ngo.VDCMCP==' ').sum()\n",
    "with_any = ngo.shape[0]\n",
    "with_vdc, with_any, with_vdc/with_any"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Runtime in seconds: 57.59934425354004\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "end_time = time.time()\n",
    "print('Runtime in seconds:', end_time - start_time)\n",
    "\n",
    "print(\"Done\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
